About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

"• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of Data Centre Mechanical & Electrical for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills."

Must have Talent / Skills

Ever work in Data Centre

"• ITIL Process Knowledge
• WOG experience "

Responsibilities:

1. Monitor real-time security operations at overseas IDC, including personnel and asset surveillance. Respond promptly to security incidents, coordinate, and follow up on incident handling to ensure stable, secure, and efficient overseas data center operations.

2. Develop and optimize operational management standard procedures, and establish the framework for IDC security operation management systems. Enhance the standardization of global data center operations.

3. Oversee the construction of the IDC alarm, incident, risk, and drill management system. Drive execution through data-driven approaches, and facilitate the evolution towards automation and intelligence.

4. Collaborate in optimizing the security operation management platform, contributing to the development of automation tools for centralized and refined management of global IDC.

Requirements:

1. Bachelor's degree or higher, with a preference for a major in computer/electronics.

2. Over 2 years of relevant work experience, demonstrating operational and management expertise in large-scale security service projects.

3. Familiarity with security incident emergency response processes. Ability to track, analyze, handle, and resolve various security issues and incidents. Understanding of relevant security standards, regulations, and security systems.

4. Preferably with a background in the security industry or a large security services company.

5. Proficient in both Chinese and English languages.

Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling
• Experience working with customers in different industries and understanding their specific challenges and requirements

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Cloud certifications related to data, analytics and architecture in one of AWS, GCP, Azure
• Kyndryl Confidential
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in Data, AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

• Salary up to $8,000
• 5 days work week (Hybrid)
• Central

Our client is committed to delivering innovative technology solutions. Our team of experts thrives on solving complex challenges and building cutting-edge solutions. You will play a crucial role in defining the architecture of data warehouses, databases, and cloud-based data solutions. We are seeking a talented and experienced Data Architect to join our growing team.

Job Scope:

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R22107887 | Gladys Chang Si Min

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing
• discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as
• generative adversial networks (GANs), variational autoencoders (VAEs), etc.)
• Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch
• Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more
• Experience working with customers in different

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

Job Description:

• Responsible for ensuring the availability and reliability of multiple data centers to meet IDC operational requirements.
• Conduct daily inspections of servers, switches, power environments, etc., to maintain a good operating environment in the data center and provide feedback data.
• Install, maintain, and troubleshoot server equipment in the data center, including hardware installation, maintenance, and fault handling.
• Responsible for data center equipment migration and server system installation and configuration, such as Windows/Linux systems.
• Assist in troubleshooting CentOS and other Unix-like systems, identify and resolve faults, and provide timely feedback on issues.
• Troubleshoot and resolve data center network equipment and switch failures, such as switch replacements and link failures.
• Promptly respond, provide feedback, and follow up on troubleshooting for daily issues and emergency incidents.
• Responsible for adjusting and arranging the physical links in the data center, such as fiber optics, Ethernet cables, and power cables.
• Conduct regular inspections, maintenance, replacement, and repairs of all servers and spare parts in the data center.
• Provide various daily reports on time and be available for alternating day and night shifts.
• Support spare part inbond and outbond in Warehouse

Job Requirement:

1. Diploma/Bachelor’s degree or above in Engineering, Computer Science, Information Technology, Security, or equivalent;

2. Proficient in Chinese and English to liaise with clients from China;

3. 1-3 years of IT experience; outstanding fresh graduates are totally welcomed;

4. Provide 24/7 alternating support for day and night shifts, with each shift lasting 12 hours, totaling 3 or 4 shifts per week.

Title: Sales Director

Hybrid

Perm

Key Responsibilities

• Monitor market trends and competitor activities to develop and implement effective sales strategies, driving the growth of data center and telecommunication services in the international market to achieve sales targets.
• Expand new markets and establish strong client relationships within the telecommunications and data center industries.
• Understand client needs, showcase service capabilities, and deliver tailored integrated solutions to create benchmark projects that enhance market reputation and client satisfaction.
• Strengthen internal collaboration to improve project delivery and ensure smooth execution.

Requirements

• Bachelor’s degree or higher, with at least 10 years of experience in Energy/Power solutions for data centres.
• Over five years of international sales experience in the data center or power communication industry.
• Good network within the industry.
• Strong communication, negotiation, and sales skills, with the ability to independently achieve sales goals.
• Excellent team collaboration skills and the ability to work effectively across departments.
• Strong market analysis and business development capabilities, with a keen sense of market trends.
• Proficiency in English and Mandarin, familiarity with technical terminology for the power and telecommunications industries. Additional knowledge of Southeast Asian languages is a plus.

(EA:20C0196)

R22108971

This Role is responsible for helping to drive the planning, execution oversight, operational excellence, internal/external thought leadership and subject matter expertise on CME’s portfolio of external value-added data products and services.

In the role, the analyst will successfully support the strategic development of new data products and services – leveraging CME Group’s own proprietary data, data from third-party partnerships, and alternative data sets – designed to expand CME Group’s Data Services business and capitalize on recognized growth opportunities.

The analyst will further assist in the management of CME Group’s DataMine distribution platform and will further focus on providing a unique and streamlined user experience. This role will work across CME supporting teams and external partners and requires a passion for business strategy and problem solving and a strong familiarity with market data in the context of financial markets.

The analyst will also help drive growth of the CME Group's data Services business by taking ownership of ongoing usage analysis, intelligence gathering and preparing key research on client trends and opportunities, as well as providing pre-sales support for onboarding and licensing customers.

Principal Accountabilities:
• Develop and generate reports and analyses based on vendor and subscriber information. This includes conducting simple to moderately complex financial and usage analysis.
• Execute ad-hoc projects to identify industry trends, customer impact of potential commercial changes and be able to deliver this and similar research in clear and business-focused formats.
• Grow and maintain knowledge levels of real time and derived data policies and fees.
• Provide pre-sales assistance for the licensing of Derived Data prospects through high level qualification techniques and articulating onboarding process to clients.
• Substantiates and reconciles reports with clear documentation. Resolves discrepancies independently and demonstrates a keen eye for numerical detail.
• Work with and develop relationships with other business units globally to effectively analyze key client behaviors.

Skills & Software Requirements:
Advanced Knowledge of Microsoft Office with emphasis on high degree of proficiency in Excel including the use of financial formulas, data analysis and pivot table features is a must. Knowledge of Microsoft Access, SQL and Visual Basic programming is highly desired. Proficiency in Salesforce and PeopleSoft or other financial database helpful.

Castlery is looking for a Senior Data Scientist to join team!

As the Senior Data Scientist, you will be part of our Data Science team, working alongside Data Analysts to provide impact to the organization through several key projects that will directly improve ROI efficiency, productivity and customer experience, which impacts conversions and revenue.

What you'll be doing:

• Build end-to-end data science products for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
• Collaborate closely with cross-functional teams to answer key business questions and enhance day-to-day business decision-making by leveraging the most suitable models and data technologies.
• Design rigorous experiments, conduct in-depth data analyses, and validate models to ensure the accuracy and reliability of predictions and recommendations.
• Stay abreast of the latest developments in machine learning, deep learning, optimization, and large language models, and apply learnings incrementally to drive innovation within the company.
• Communicate complex data science concepts and analytical results clearly and effectively to stakeholders at all levels and provide mentorship to data practitioners across the organization.

What you'll need:

• Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science/ Engineering, Data Science, or a related field, with a strong record of academic achievement.
• Proficiency in programming with Python or R, with practical experience in statistical analysis, machine and deep learning modeling, and model deployment.
• Deep understanding of various machine learning and deep learning techniques, including classification, regression, unsupervised learning, and reinforcement learning, and their appropriate applications.
• Hands-on experience with large language models, optimization methods, and their applications is a strong plus.
• Expertise in one or more of the following areas: recommendation systems, advertising and marketing technologies (data management platforms and demand-side platforms), promotion optimization, demand and inventory forecasting, supply chain optimization, and generative AI.
• Entrepreneurial spirit to develop innovative solutions from scratch.
• Ability to deliver complex ideas effectively, both verbally and in writing, in English.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

If you are looking for internship opportunity, apply now!

As a Data Analyst / Scientist Intern at ComfortDelGro, you will be embarking on an exciting and fulfilling journey to help ComfortDelGro make smart, data-driven business decisions.

Job Scope

• Manage data on AWS/Azure platform
• Write efficient SQL query to extract and aggregate data
• Perform Data analytics and Data visualization on large data set using Power BI
• Write Python script to extract open source data for analysis
• Build machine learning models to solve business problems

Job Requirements

• Degree in Data Science, Computer Science/Engineering, Applied Mathematics, Operations Research, Statistics or equivalent. Master or PhD is a plus.
• Able to commit at least Min 3 to 5 months (FULL TIME ONLY)
• Experience in writing SQL query to aggregate data.
• Possesses adequate knowledge of analytics and visualization tools like PowerBI / Tableau
• Experience in writing programming languages such as Python, C++, Java.
• Experience in one of the fields: machine learning, deep learning, operations research.
• Good knowledge in statistics and mathematics.

Tentative start date option:

1. Jan 2025 - Dec 2025
2. Jan 2025 - May/ June 2025
3. May/ June 2025 - December 2025
4. others

Location/ Address: 383 Sin Ming Dr, Singapore 575717

Working days: Monday to Friday

Working hours: 8am to 530pm

Internship Allowance: Will be disclosed to shortlisted candidate

Job Purpose

Looking for an experienced Hadoop admin to join the Group Data function and manage the Hadoop based big data platform.

The role will be responsible of day-to-day operations of the big data platform. This includes monitoring, system upgrade, incident troubleshoot and service restoration, security patching, deployment, capacity management, etc.

The Job

Platform Upgrade and Maintenance

· Conduct the development and implementation of upgrades, and maintenance of the data platform

· Conduct timely patches based on vulnerabilities findings

· Monitor the platform and identify any performance gaps

· Optimize the platform infrastructure to meet scalability, performance, and security requirements

Capacity Management

· Monitor the utilization of the data platform and plan for any expansion if required

Issue/Incident Management

· Troubleshoot and fix the issue based on pre-defiled SLA

· Restore the services in case of system/service downtime based on pre-defined SLA

· Provide timely update to the users on the situation

· Escalate to management based on escalation matrix

User Access Management

· Onboard and offboard users to the platform based on the approval sought

· Conduct regular review of user accounts and take necessary actions to ensure users are valid and active

· Provision user access based on the approval sought

Data Security and Privacy

· Implement robust data security measures to safeguard sensitive information within the data platform

· Ensure compliance with data privacy regulations and industry standards

Deployment

· Conduct deployment of data pipelines developed by data engineers

Process

· Ensure operational Efficiency

· Participate in the creation of standards, guidelines, and procedures related to the data platform

· Monitor the performance, efficiency and effectiveness of operational processes and identify any areas of improvements to drive process optimization and efficiency

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics, and equivalent of 5+ years of experience in distributed systems like Big Data Hadoop.

· Proficiency in Hadoop: Proven experience in Hadoop technologies (Spark, HDFS, Hive, Sqoop, Airflow, Docker)

· Managing data infrastructure: Experience in monitoring of data platform infrastructure and incident handling.

· Knowledge of SQL: Experience in MariaDB or any other relational database management system.

· Experience with ETL: Experience in managing and operating enterprise ETL tools

· Programming skills: Experience in one or more programming languages such as Python, Java, or Scala, and be able to develop custom shell scripts and applications for data operation and monitoring

· Data warehousing: good understanding of data warehousing concepts, including data architecture, dimensional modelling, and ETL processes.

· Experience with DevOps: Experience in DevOps tools and environment (BitBucket, Jira, Bamboo)

· Experience in Agile Methodology

· Collaboration: Work closely with data analysts, data engineers, data scientists, and business stakeholders to understand data needs and provide solutions to complex data problems. Should have good communication and collaboration skills.

· Critical thinking: Ability to analyze and understand complex problem. Strong in User Requirements Gathering, Troubleshooting, Maintenance and Support

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Hiring Location: Singapore

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, our purpose is to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.

Who You Are? Role Overview:

In 2024, the Data Platform Engineering team is going to implement various data processing tasks on the newly built next-generation data platform. We aim to further optimize data storage, processing, application, interfaces, and other dimensions. Throughout the continuous iteration process, we will also incorporate new data components and consider new data architectures (such as Lake House) to achieve faster data scheduling, significantly reducing data latency and enabling more efficient operation of data engineering applications.

In this data engineering role, we are seeking engineers with a background in data engineering to join us in various aspects of data engineering, leveraging your past experiences in the field.

In this role, you will:

• Engage in technical decision-making, custom development, integration, and performance optimization at the foundational level, extending to the development of service layer infrastructure components, application layer, and data processing, including third-party data integration. Your contributions will enable Airwallex to evolve into a truly data-driven organization.
• Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming) to drive Airwallex's business growth and enhance product experiences.
• Advocate for high-quality software engineering practices to establish scalable data infrastructure and pipelines.
• Contribute to defining shared data engineering tool standards to enhance the productivity and output quality of data engineers across the company.
• Provide guidance to junior engineers.

You might be a great fit if you:

• Have 5+ years of relevant experience as a data engineer.
• Hold a Bachelor's or Master's degree in CS/CE/CIS, (or equivalent experience) with knowledge of Kotlin / Java / Scala / Python / SQL. Knowledge of Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake is preferred.
• Ability to take ownership of designing, building, and operating distributed systems and establishing overarching data architecture.
• Possess strong working knowledge of Real-time/Batch processing systems.
• Have experience with working data at PB scale.

At Airwallex you’ll have the ability to make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.

Airwallex is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence, and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into concerning the specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

Internal Code: AX25002

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About iNova

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

The Opportunity

We currently have an opportunity for a Data Engineer - Snowflake to based in Philippines or Singapore, to join our Group Technology Team.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Engineer will be primarily responsible for designing, developing, and optimizing data warehouse solutions with Snowflake. Secondarily, this role will involve supporting the integration of ETL processes using Microsoft tools (Azure Data Factory, LogicApps etc.) into the Snowflake ecosystem.

Knowledge of data visualization through Power BI would also be desirable to ensure provision of available, reliable, and structured datasets from Snowflake for both reporting and analysis purposes.

This role requires extensive knowledge of data engineering processes, data modelling, data warehousing, and business intelligence best practices. A successful candidate will be able to transform complex business needs into efficient, scalable, and secure data pipelines solutions.

Key Responsibilities

Primary - Data Warehouse Development and Management:

• Design and manage data warehouse solutions in Snowflake, ensuring data integrity, optimization, and security.
• Maintain and improve the performance of the data warehouse to meet the reporting and analytical needs of the business.
• Ensure Snowflake environment is optimized to integrate with upstream data-sources.
• Support Data Governance and Quality within the Snowflake environment.

Secondary - Data Integration / ETL and Visualization Support:

• Collaborate with internal and external integration specialists to identify data requirements and co-design data integration solutions.
• Consume output datasets from various internal and external sources into Snowflake as processed using Microsoft tools such as Azure Data Factory and LogicApps.
• Familiarity with other ETL tools such as Alteryx would also be beneficial.
• Ensure that Power BI reports deliver accurate, real-time data insights through providing appropriate reporting datasets.

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines, transformations, and visualizations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Information Technology, or a related discipline, with a minimum of 5 years hands-on experience in data engineering, with a focus on building and managing data warehouses in Snowflake.

Other key requirements for this role include:

• Snowflake Certification (SnowPro Core and/or other Advanced Certifications) a plus but not mandatory.
• Hand-on experience building data-pipelines in Snowflake with SQL and/or Python.
• Hands-on experience with Data Governance in Snowflake including compliance, security, privacy and access
• Ideally, experience with developing data-centric capabilities using Python in Snowpark and/or applications with StreamLit.
• Experience with ETL tools with a focus on Snowflake Integration, particularly within the Microsoft stack (Azure Data Factory & Logic Apps).
• Experience in building datasets to enable reports and dashboards using Power BI.
• Experience with data integration from cloud platforms and various APIs a plus.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.

* Excellent customer service and customer acquisition

* Brand enhancement for reputable clients

* Conducting presentations

* Assisting in the local and regional expansion of our organisational growth

* Developing coaching skills

Benefits:

* One-to-one guidance

* Transparent career growth

* Leadership and personal development workshops

* Global overseas exposure

* Vibrant team environment

Requirements:

* Keen to learn, self driven individuals

* Team player with entrepreneurial mindset

* Good interpersonal skills