Work Location : Alexandra

Years of Experience : 2 years

Contract : 1 year

Responsibilities-

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

We are seeking a dynamic and experienced People Analytics Specialist to join our team. The role will be responsible for transforming data into meaningful insights and recommendations for our data-driven decision-making in HR. The role will also engage with business, leaders and data scientists to elevate the use of HR data analytics, by developing and implementing analytics solutions that support HR strategies and initiatives.

Key Responsibilities

• Gather, organize, and analyze employee data across various HR systems to provide actionable insights.
• Create and maintain HR dashboards and reports and answer "How To" questions.
• Leverage statistical and predictive modeling techniques to identify workforce trends and forecast future talent needs.
• Engage and collaborate with business and HR leaders to understand their needs on data-driven insights by leading and facilitating discussions with them, consolidating inputs and providing recommendations on applying people analytics.
• Address strategic HR needs such as employee engagement, talent identification and retention, skills assessment, workforce planning etc. through people analytics
• Thoroughly explore and utilize product features of Visier, a People Analytics platform, including GenAI, Large Language Model (LLM), and training/finetuning of the capabilities.
• Manage roll-out activities such as training sessions and "Office Q&A" sessions.
• Update visuals and narrations in storyboard.
• Address users’ queries to gain deeper insights into the data.
• Stay updated on industry trends and best practices in People Analytics to continuously enhance HR strategies and reporting.

Requirements

• Bachelor’s degree in human resources, Data Analytics, Business Administration, or a related field.
• Proven experience in people analytics, including predictive analytics that supports HR metrics and strategic initiatives.
• Previous experience in creating and managing dashboards and visual representations of data via data visualization tools and/ or HRIS systems, along with strong Excel skills for data manipulation.
• Excellent interpersonal and communication skills, with the ability to lead discussions and present data-driven insights and recommendations to stakeholders.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency with Visier and its various features, including the GenAI and LLM capabilities will be an added advantage.

Experience: 9+ Years

Role: Big Data Engineer

Skills from Primary Skill Cluster Spark, Big Data, Hive, Java, 5+yrs with hands-on on Java is Must
Database knowledge and should be able to write the queries is Must.
Handson on Unix Shell scripting is Must.
Knowledge in Spark SQL (Good to have).
Understand on Regulatory reporting(Good to have).
Design implementation of scalable fault tolerant ETL Pipelines on Bigdata Platform to store process terabytes of contract informations from upstream sources with high availability
Actively work on performance tuning techniques through understanding Spark DAGs on data structures on both Relational Big Data Platforms giving high performance to both ETL Reporting Components
Responsibilities: Performs adhoc data research analysis, provide written summaries of results for nontechnical business users

We are looking for a skilled Data Engineer with strong development skills to join our dynamic consulting team. In this role, you will play a key part in designing and building scalable, high-performance data pipelines and applications, while working closely with clients to understand their unique data needs and deliver tailored solutions.

This position requires a solid foundation in data preparation, backend development, and API integration, with a primary focus on Python and React.js for frontend. You will be involved in all phases of the data lifecycle, providing technical leadership, and ensuring successful project delivery through close collaboration with clients.

Key Responsibilities:

· Client Interaction: Lead client interactions, including requirement gathering, technical discussions, and workshops to clearly define project goals and data solutions.

· Data Pipeline Development: Design, develop, and maintain robust data pipelines to process, cleanse, and transform large datasets for various applications.

· Full-Stack Development: Build secure, scalable APIs and integrate third-party services, databases (SQL, NoSQL), and systems while contributing to the development of user interfaces using React.js.

· API Integration: Develop and integrate APIs for seamless data flow between systems, ensuring high performance and security.

· Data Preparation & Processing: Implement data preparation techniques to clean, organize, and structure raw data for analysis, ensuring data readiness for machine learning and AI applications.

· Emerging Technologies: Explore and gain hands-on experience with emerging technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

· Cross-Functional Collaboration: Collaborate with cross-functional teams to deliver high-quality projects within agreed timelines, ensuring optimal data performance and security.

· Continuous Improvement: Stay updated with the latest industry trends and technologies to drive innovation in data engineering projects.

Requirements:

· Passion for Emerging Technologies: A strong interest in staying ahead of the curve with new technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), with a desire to continuously learn and integrate these into client data solutions.

· Data Engineering Expertise: Minimum of 3 years of experience in data engineering, with a strong focus on Python for backend data processing and React.js for frontend interface development.

· API Development and Integration: Expertise in building and integrating RESTful APIs for data flow and system integration, with experience working with SQL and NoSQL databases.

· Data Preparation Skills: Strong understanding of data preparation, ETL processes, and transforming unstructured or semi-structured data into structured formats.

· Infrastructure and Cloud Knowledge: Solid understanding of infrastructure, cloud platforms (Azure, AWS, GCP, Alibaba Cloud), and familiarity with network and security best practices.

· Consulting Experience: Ability to engage with clients through requirement gathering, leading workshops, and providing technical solutions that align with their data-driven business needs.

· Agile and Version Control Skills: Familiarity with agile methodologies and version control systems like Git, ensuring smooth collaboration and project efficiency.

· Problem Solving & Communication: Strong problem-solving skills with the ability to communicate complex technical information effectively to both technical teams and non-technical clients.

· Client-Focused Approach: Ability to understand client needs and translate them into scalable, high-performance data solutions that deliver value and enhance user experience.

· Track Record: Proven experience leading technical projects, guiding the data development lifecycle from requirements gathering to deployment, while ensuring quality and client satisfaction.

Responsibilities:

Manage and maintain large-scale data center infrastructure and facilities for continuous 24x7 operations in rotating shifts.

Job Description:

• Support continuous operation of data center infrastructure with 24x7 monitoring.
• Act as Level 1 escalation point for operational incidents, responding within SLA.
• Document all requests in the internal Web Portal ticketing system.
• Ensure compliance with ITIL processes for incident, problem, and change management.
• Implement safety, security, and customer support policies effectively.
• Coordinate with contractors, vendors, and inspect completed work.
• Plan and execute preventive and reactive maintenance activities with minimal service disruption.
• Support internal and external audits and generate reports as needed.
• Perform other duties and projects as assigned by management.

Requirements:

• ITE Certificate or Diploma in Computing, Electrical, Mechanical Engineering, or related field.
• Minimum 1 year of relevant experience in 24x7 data center or facility operations.
• General knowledge of Mechanical & Electrical (M&E) and Network Critical Infrastructure.
• Detail-oriented team player capable of working under pressure in a fast-paced environment.
• Available for 24x7 standby and recall as needed.
• Rotating 12-hour shifts, including weekends and public holidays (3 days' work, 2 days off).

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

As a Lead Data Analyst, you will play a critical role in guiding strategic decision-making by providing insights from data. You’ll oversee a team of Data Analysts, Engineers and Scientists and collaborate with cross-functional teams, and deliver actionable recommendations to improve game development, player engagement, and operational efficiency.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop the team, fostering a culture of collaboration and continuous learning.
• Data Strategy: Develop and implement data analysis strategies to support game development and business operations.
• Analytics and Reporting: Design and deliver insightful dashboards, reports, and presentations for various stakeholders, ensuring data-driven decision
• Collaboration: Work closely with game development teams, marketing, and other departments to identify opportunities for leveraging data.
• Data Quality and Governance: Ensure data integrity, accuracy, and security by defining and enforcing governance standards.
• Innovation: Stay up-to-date with the latest analytics technologies and methodologies, incorporating them into the team's workflows.

About Us

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Responsibilities

1. Provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce operation/product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Partner closely with key stakeholders to monitor, diagnose and optimize overall business performance and health.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a bachelor's degree or above.
2. Proficient in SQL, Python or R, and expertise in at least one of the three areas: advanced measurement (e.g AB testing, causal inference or systems with complex trade-offs), modeling, and optimization.
3. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

AVN-Digital is an expert in providing technology-enabled business solutions and services. Since inception, AVN-Digital has helped clients Cyber-security, Data Analytics and Robotic Process Automation to improve their operations and profitability, focus on core competencies and achieve business results such as increased agility, innovation and profitable growth. Our in-depth technical knowledge, industry experience, and unique methodologies enable us to successfully deliver and meet our customer’s expectations.

We are currently looking to hire a Databricks Engineer - IDMC. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE

Long Term Contract

ROLES AND REPONSIBILITIES

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake.
• Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

We are seeking a detail-oriented and resourceful Operations Support Specialist who is passionate about enhancing operational efficiency and making a positive impact on an emerging team. The ideal candidate has experience working across medium to large-sized teams with diverse stakeholders, excels in solving ambiguous challenges, and will come with some knowledge of APIs and SQL.

Responsibilities:

• Run daily standup meetings and monitor/manage daily customer support tickets for prioritization and triage.
• Update the status page for product issues when necessary.
• Support daily hand-over activities across different regions.
• Assist regional customers with seasonal campaigns.
• Follow internal processes to triage and support regional escalations.
• Coordinate and prepare content for regional monthly meetings.
• Notify customers about expiring API product versions.
• Track and report on operational performance and conduct ad-hoc data analyses.
• Identify and drive process improvements, contributing to operational excellence initiatives.

Essential Skills & Experience:

• 2–4 years of experience providing operations support in a technical environment.
• Customer-oriented mindset with strong empathy and understanding.
• Exceptional attention to detail, capable of executing standard workflows while adapting to evolving business needs.
• Passion for learning and understanding technical concepts.
• Creative problem-solving and troubleshooting skills.
• Proven ability to multitask and prioritize effectively in a fast-paced environment.
• Experience in using SQL for data driven analysis and investigation.

This is a long-term contract role.

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

The Solution Architect will be responsible for the design and thought leadership throughout the full life cycle of a customer's journey. The individual will have the opportunity to be engaged from pre-sales activities focusing on the development of leads, initial scoping, high level solution designing, estimation and statement of work generation. Then within the delivery phase you will work closely with our delivery teams to bridge the gap between the high level solution design and low level solution design.  Supporting the delivery implementation, providing guidance and leadership. Besides the customer engagements you will look to use your experience and that of the large Solution team in assisting in the creation and design of our next generation of products and services, allowing you to develop truly impactful solutions which you will help to take to market working with internal teams and partners.

Job Requirements

• Pre Sales Activities: Work with the Sales and Delivery Team to support the development of leads, estimates, resource planning, ultimately resulting in the production of a statement of work for the customer. 
• Solution Design: Creation of the high and low level designs and architecting systems in a cloud native fashion on any of the 3 major cloud providers (AWS, GCP, Azure). Provide review and quality assurance across the team’s output. 
• Collaborate with delivery: Work with the DevOps, Data Engineering and Application Development delivery teams to bridge the gap between the solution designs ensuring that delivery of the solutions are inline with the requirements of the customers. 
• Solution Development: Taking insight and feedback from Sales, Client Partners and industry to develop new solutions and products which will help benefit our customers. Then working with the engineering teams and in collaboration design and delivering these new solutions which can be taken to market. 
• Data Solutions Subject Matter Expert: Act as an authoritative source for both internal and external queries in the space of “Data Solutions” focusing on  Data Migrations, ETL Pipelines, Data Modelling and AI/ML practices.
• Continuous Learning: Set aside the time to develop skills and knowledge to broaden your experience and understanding of the Cloud and Data space. Work to share this knowledge internally and externally through evangelism, utilizing different forums and mediums, 

Job Description

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

Make an Impact by

• Design and develop Mechanical electrical systems for new and existing data centers, including but not limited with ACMV system, Hydraulic system and thermodynamics refrigeration cycle, Fire Protection System, Plumbing & Sanitary System, etc.
• Perform various engineering calculation (i.e. cooling load calculation, hydraulic calculation, etc.), equipment sizing (i.e. chiller, pump, cooling tower, air handler) and selection and procurement of equipment ensuring it meets safety standards and performance requirements.
• Collaborate with the core team to understand, develop and update the data centre mechanical designs, starting from basis of design (BOD), feasibility study, concept and detailed design development to issue for constructions (IFC) documents, for new data centre project buildouts and major infrastructure upgrades to all levels of testing and commissioning works.
• Perform as Mechanical engineer subject matter expert to work with consultants during concept design, detailed design, procurement, bidding, SAT, delivery, and installation on site. Identify and resolve issues raised by the cross-functional teams.
• Update and maintain the internal design specifications, drawings, and standards in accordance with the latest configurations and including all 'lessons learned' in relation to all equipment. Perform design and equipment submittal review for new Data Centers.
• Liaise with internal business units and external customers for technical requirement to translate into executable plan for implementation by consultant and/or contractor.
• Knowledgeable in Building Management System/DCIM, able to understand system architect and point schedule. Experience in handling BMS/DCIM enhancement project.
• Evaluate the design& construction and operation of mission-critical facilities and associated MEP components.
• To Participate and Review Data Center MEP Design and other necessary disciplines for new data center builds and data hall fitouts.
• To continually find ways to collaborate and break new ground to enhance MEP design to meet future needs. Develop innovative solutions.
• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
• Support the DC Engineering FM team to become a Subject Matter Expert and understand how to overcome design limitations and risks.
• Interface with internal stakeholders to promote standards that maintain consistency and reliability in services delivered.
• Liaise and assist Operation team to identify/understand Electrical System issues and provide solutions.
• Perform technical design reviews and proposal for data centre first of kind systems and equipment.
• Review data centre commissioning scripts to ensure they accurately test all modes of operations. Witness key commissioning tests on site.
• Conduct site inspection and work with onsite field engineers, as well as provide engineering evaluations, mechanical systems audits, and start-up as needed.
• Continually maintain positive and collaborative working relations with partner teams, vendors, teammates, and internal customers.

Skills for Success

• Bachelor’s degree in Mechanical Engineering or relevant discipline.
• Minimum of 5 years of experience in designing and maintaining mechanical systems for data centers or similar critical facilities
• Knowledge of large-scale mission critical facility’s Electrical infrastructure systems.
• Experience with fast-track design/build projects and or multiple significant upgrade projects.
• Fundamental knowledge in of thermodynamics, fluid mechanics, and heat transfer principles, fire protection and plumbing and sanitary system.
• Ability to incorporate Renewable Energy System to the Distribution Network and strong understanding of Mechanical codes and standards.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Attention to detail and a commitment to safety.

Rewards that Go Beyond

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

NYC based company has an entry level position available with our economic data group in our Singapore office located in the Central Business District. We are seeking an energetic candidate with an economics degree to join our growing team of data manager professionals.

Entry level candidates are encouraged to apply. We are looking for candidates who are detail oriented and have good computer and communication skills.

The position includes tracking and research of time-sensitive economic and financial time series from sources to update our databases, running quality assurance checks and researching output, organizing and adding new surveys, and providing client support of our data content and proprietary software.

Positions are available focusing on Asian country macroeconomic and financial data with a monthly starting salary range of S$4.3K to 4.7K. Hours are from 7:30am to 5pm. Fluency in Korean is required as well as English in order to liaise with Asian language speaking associates, clients and data sources.

We are working in a flexible, hybrid environment of 3 days per week in-person at our office. All employees need to be fully vaccinated. You will need a computer with good internet connectivity at home.

This is an excellent opportunity to learn about important economic and financial indicators that the community of economists, strategists and risk managers within the corporate marketplace and public sector rely on.

Please visit http://www.haver.com to learn more about us.

Requirements:
* Submit cover letter and resume
* Have an undergraduate or graduate degree in economics that states your degree classification
* Live within commuting distance
* Be detail oriented and have good computer and communication skills
* Fluency in Korean is required as well as English in order to liaise with Asian language speaking associates, clients and data sources. Japanese and Chinese are also helpful.

Benefits:
* Review and salary raise every 6 months in the first year
* Annual performance-related bonus starts 2nd year

The College of Computing & Data Science (CCDS) invites applications for the position of Project Officer to support a the research project, "Attention-based Model for Generation of Antibodies". This role include understanding of antibody design and improving computational methods for countering infectious diseases. The PO will work closely with our research team.

Key Responsibilities:

• Support various aspects of project execution.
• Assist in the monitoring, documenting, and reporting of project progress and outcomes.
• Conduct data analysis, literature reviews, and support in programming tasks.
• Conduct data collection/curation of molecular biology data (protein sequences, etc)
• Assist computational model development applied to antibody prediction tasks
• Perform other related duties as assigned.

Job Requirements:

• A Bachelor’s Degree in in Computer Science/Mathematics/Engineering/Statistics.
• Strong analytical and problem-solving skills.
• Good in AI.
• Knowledge in Computational Biology, especially protein sequences or structures is a plus.
• Prior experience in working with protein sequence or structure datasets is highly desirable.
• Ability to work collaboratively in a team environment.
• Highly motivated, organized, and detail-oriented.

We regret that only shortlisted candidates will be notified.

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Databricks Engineer - IDMC. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE

Long Term Contract

ROLES AND REPONSIBILITIES

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake.
• Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

Avensys Consulting Pte Ltd

EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Data System Development

o Design and construct ROI-oriented data systems to evaluate activity effectiveness and optimize operational costs.

o Establish business intelligence (BI) dashboards to visualize core metrics for decision- making.

User Analysis and Personalization

o Perform detailed user segmentation based on demographics, behaviour, and risk appetite.

o Develop user labelling systems to enable personalized recommendations and improve user retention.

Competitor Analysis

o Utilize advanced tools (e.g., web crawlers) to gather market data, including transaction volumes, liquidity, and capital flows.

o Create comparative analyses to monitor market share trends and competitive positioning.

Data Governance and Collaboration

o Partner with data warehousing teams to ensure business-aligned data structure and governance.

o Define data set specifications and manage permission hierarchies.

Cross-functional Support

o Provide data insights for product development, including new feature assessments and pain-point resolutions.

o Collaborate with marketing, operations, and other teams to optimize performance indicators.

Requirement:

• Bachelor’s Degree in Computer Science, Engineering, or a related field required.
• Min 8 years of experience in Data Analytics and proven track record in cross functional team support
• Experience in using Business Intelligence tools are essential.
• Experience with relational databases and source control tools is preferred.
• Ability to work effectively on the trading floor under tight deadlines.
• Excellent communication, analytical skills, and a dependable work ethic.

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile> https://sg.go.persolkelly.com/job/apply/10401

We regret to inform that only shortlisted candidates will be notified.

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PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Technical Operations Data Analyst

• 12 months contract
• Hybrid work location
• Work location: CBD

The Opportunity

• Review operational issues and determine if a technology (product) solution is required or a process correction needs to be made. Identify opportunities to improve business practices and drive internal process improvements.
• Track and report on operational performance for the global team and conduct data analysis regularly to identify trends and areas of improvements.
• Run daily standup meetings and monitor and manage daily customer support tickets for prioritization and triage.
• Assist in creating Business Review content for leadership meetings.
• Ensure the team adheres to established processes and protocols while staying informed about any updates or changes. Proactively highlight any deviations that affect our quality of support both internally and with vendors.
• Identify and address any roadblocks or issues that may impact operations
• Update status page for product issues when needed
• Support daily hand-over activities between different regions
• Coordinate with the team and prepare regional monthly meeting content
• Coordinate customer notifications on expiring API product version
• Document learnings and share operational insights to cross-functional teams

Your Background

• 2-4 years of experience providing operations support in a technical environment with strong understanding of Operational Metrics and Key Performance Indicators to measure success of a team.
• Demonstrated creative problem-solving approach and experience in using data visualization technologies to help drive business insights.
• Experience in building advanced SQL queries and dashboards to find operational trends and root cause by dice and slicing data.
• Customer-oriented mindset with demonstrated understanding and empathy
  High attention to detail, with an ability to execute standard workflows while also adapting appropriately to business and process changes when necessary
• Demonstrated ability to multitask and prioritize in a fast-paced environment
• Collaborative team player with "get it done” attitude
• Excellent interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team.
• Excellent verbal and written communication skills and demonstrate attention to detail

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

• 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

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Azure DataEngineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

JOB TYPE:

ITEM SKILLSETS

Business Understanding

· At least (3) years of relevant experience in:

· Business Requirement Analysis

· Business Process and System Understanding

· Effective Communication with both business and technical users

Azure Data Engineering

· At least (2) years of hands-on experience as Azure Data Engineer using:

· Azure Data Factory

· Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

· At least (3) years of hands-on experience in

· Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

· Implementing Data Quality validation

· Good to have following skills

· Knowledge of Azure Databricks

· Data modelling in Azure Analysis Services using star and snowflake schema.

· Knowledge of writing DAX query to create measures & dimensions.

· Python Coding Experience

To submit your application, please apply online or share the updated cv to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Khalid Farooq

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' personal information and privacy policy.