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.

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

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)

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.

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.

• 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.

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.

Job Summary

An exciting opportunity for Data Analyst to work on projects for compliance surveillance systems support in processing analytics data, for a reputed bank.

Mandatory Skill-set

• Degree or Diploma in Software Engineering, Computer Engineering, Information Technology and related Discipline;
• Ability to work independently with Python and SQL and strong ability to process large volume of data;
• Has knowledge and experience of creating Dashboards – either PowerBI / Tableau / Qlik;
• Basic understanding of Rules Based and Machine Learning models;
• Excellent interpersonal, communication skills and able to function with multiple teams;
• Proactive with a go-getter attitude.

Desired Skill-set

• Experience in AML/CFT;
• Familiarity with SWIFT transactions and/or sanctions screening;
• Work experience in banking industry.

Responsibilities

• Collaborate with business units to investigate and resolve reported issues or queries related to compliance surveillance systems;
• Process and analyze data to assist with investigations into Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT);
• Perform tuning and optimization to enhance the functionality and efficiency of compliance surveillance systems;
• Refine and optimize machine learning models to improve compliance monitoring and detection capabilities;
• Participate in projects focused on the maintenance and enhancement of compliance surveillance systems and provide support for analytics data processing;
• Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
• Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interview.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities
*Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
*Discuss industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
*Deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
*Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

This position is ideal for those who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Staff Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.
Responsibilities:

• This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide excellent user experiences. You will be an integral part of the Loyalty development team focusing on design and building of software solutions that leverage data to solve business problems.
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
• Lead development and oversee programming testing functions to ensure that projects are securely delivered while fulfilling expectations.
• Identify opportunities for further enhancements and refinements to standards and processes.
• Lead by example, demonstrating accountability, mentoring junior team members, and by contributing to departmental procedures, best practices, and standards.
• The candidate will be extensively involved in hands on activities including POCs, design, documentation, coding, testing, implementation, and documentation of solutions for new development, system enhancements, and production support.
• Candidate must be flexible and willing to switch tasks based on team's needs.
• Development and programming functions to ensure that projects are delivered on time and within budget with good code quality.
• Work with architects, systems analysts, project managers, QA, and other developers to successfully implement business requirements while applying the latest available tools and technology.
• Responsible for the architecture, design, development, implementation of data based software applications. This includes working with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations.
• Interact with business units to define requirements and modifications and use case to utilize in designing appropriate solutions.
• Provide recommendation on scope and scale of effort required to develop solution.
• Design, develop, document, and implement new programs and subprograms, as well as enhancements, modifications, and corrections to existing software Develop testing and debugging routines.
• Create documentation and procedures for installation and maintenance.
• Build and maintain relationship with global and virtual teams and third parties on software development or support issues.
• Identify opportunities for further enhancements and refinements to standards, best practices, and development methodologies.
• Work directly with Architects, System Analysts, Dev leads and QA team leads to manage the technical aspects of a development pipeline.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

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

about the company:
Our client is a prominent service provider known for delivering innovative and customized insurance solutions designed to cater to the varied needs of individuals and businesses.

about the job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.

skills and experience required:

• Bachelor’s Degree in Engineering, Computer Science or related field.
• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer. Cloud Technology, Microsoft SQL Server and Data warehouse
• Strong Cloud Technology.
• Strong SSIS, SSAS, SSRS, Python
• Strong knowledge in SQL

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

My Client is a Singapore head quartered global company that provides Big Data & Analytics solutions on the Cloud using a SaaS model that harnesses poly-structured data from myriad sources at the right latency, derives Insights and converts Insights to appropriate business Actions. They have a strong team of Data Scientists and Domain Experts who provide Consulting and Managed Services to realise business benefits using Big Data.

What you'll do:

• Responsible for meeting revenue targets leveraging own contacts, lead generation activities and alliance partners
• Manage the opportunity from sales pursuit to close using deep sales process and offering expertise. Act as point of contact for resolution and escalation of all the key items with the client and internally.
• Target the right clients, grow quality pipeline, win profitable deals, and manage sales activities to create mutually beneficial, trust-based relationships that create value.
• Generate and build client relationships leading to qualified opportunity identification and involvement throughout the sales cycle, often without an existing client relationship or opportunity.
• Create a direct relationship with the owner or decision-makers of enterprise companies in Singapore.
• Interact with senior management levels at a client, which involves negotiating or influencing significant matters.

What we look for in you!

• Minimum of 5 years experience selling Cloud (IaaS or PaaS) and/or analytics services.
• Possess any of the cloud fundamentals certifications
• Have sold deals of data warehousing, analytics solutions
• Have positioned winning strategy development and value proposition development
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills

Desired Candidature

• Has prior experience in leading and closing multi-year deals.
• Having some prior experience in selling cloud services-based data warehousing or analytics/ data science solutions.
• Ability to identify a client problem statement and craft a value proposition that provides specific outcomes addressing the client's problem.
• Ability to provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.
• Ability to originate new opportunities.

Job Overview

We are seeking a highly skilled and motivated Data Operations Engineer to join our Data Solution team with focus on Commodity Trading, Logistics, Risk Management and Storage. The ideal candidate will be responsible for the development, deployment, and maintenance of our data pipelines and infrastructure, ensuring seamless data ingestion, transformation, and ongoing operations. You will work closely with data engineers, data scientists, and business stakeholders to ensure data quality, reliability, and performance.

Duties and Responsibilities

1. Data Ingestion and Transformation:

• Design, develop, and maintain data ingestion processes using Azure Data Factory, Azure Functions, and Logic Apps in close alignment with the DevOps team.
• Implement and manage data transformations using Databricks and Delta Live Tables, including the DLT-Framework.
• Develop and optimize ETL processes to ensure data is ingested, transformed, and stored effectively.

2. Maintenance and Operations:

• Monitor and maintain data pipelines to ensure continuous and reliable data flow.
• Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
• Implement and manage automation tools to improve operational efficiency and reduce manual intervention.
• Ensure the scalability and performance of the data infrastructure.

3. Automation and Monitoring:

• Automate data workflows and processes to improve efficiency and reduce manual intervention.
• Implement & operate CI/CD pipelines
• Implement monitoring and alerting systems to ensure data pipeline reliability and performance.

4. Collaboration and Communication:

• Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and operate or deliver solutions.
• Provide technical support and guidance to team members and stakeholders.

5. Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data integrity.
• Adhere to data governance policies and best practices.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.

Experience

Proven experience of at least 4 years as a Data Operations Engineer or similar role ideally within an agile delivery work environment.

Skill and Competencies

- Strong technical skills in a cloud environment, including:

• Azure Data Factory, Azure Functions, and Logic Apps
• Databricks and Delta Live Tables, including the DLT-Framework
• Programming languages such as Python, SQL, and Scala
• CI/CD pipelines and DevOps best practices
• Familiarity with data governance and data quality best practices

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills in a hybrid- and remote Team-Setup.

- Previous experience in the field of commodity trading or banking with a focus on (credit-) risk management, product control, or trading itself is a big plus.

If you meet the qualifications and are interested in this opportunity, please submit your application via "Apply Now". We look forward to reviewing your credentials.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization