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

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.

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.

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.

Job Summary:

An exciting opportunity for Data Engineer to be a part of a project for strategic initiatives in architecting, designing and building next-generation cloud-based data platforms.

Mandatory Skill-set:

• Degree in Data Engineering, Computer Science, Information Technology;
• At least 5 years of experience in data engineering and modelling;
• Strong hands-on exposure in data science, data analytics and / or data engineering;
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage;
• Have experience with Big Data platforms such as Hadoop, Spark, and NoSQL databases;
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
• Good understanding in using cloud technologies such as AWS, Azure, and Google Cloud;
• Experience with orchestration frameworks such as Azure Data Factory, Airflow;
• Proficiency in programming languages such as Python, R, Java, or Scala;
• Familiarity with building and using CI/CD pipelines;
• Familiarity with DevOps tools such as Git, Terraform, Git;
• Strong hands-on exposure with ETL Extract, Transform, Load tools;
• Possess strong written and verbal communication abilities, effectively conveying information to various stakeholders.

Desired Skill-set:

• Experience in designing, building, and maintaining batch and real-time data pipelines;
• Experience with Databricks or Snowflake.

Responsibilities:

• Work closely with the various team in architecting, designing and building ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Involved in architecting and scaling data analytics infrastructure on cloud environment; development of systems, architectures, and platforms that can scale large volume and variety;
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems;
• Improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable, and timely delivery of data products; ensure maximum database uptime;
• Monitoring of databases and ETL systems for database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence;
• Construct, test, and update useful and reusable data models based on business data needs;
• Engagement and collaboration with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools;
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures;
• Assist to maintain master data catalogue to document data assets, metadata and lineage;
• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data;
• Involved in managing production services that provide analytics capabilities to our various data users across the division.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

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.

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.

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.

Responsibilities:

Design mould, tooling and test socket solutions based on customer specifications, semiconductor packages, and testing requirements.

Utilize CAD tools (such as CREO, AutoCAD, SolidWorks, or similar) to create detailed 3D models and technical drawings.

Ensure designs meet mechanical, thermal, and electrical performance requirements for high-precision semiconductor testing.

Select appropriate materials, tolerances, and manufacturing methods to ensure product durability, precision, and cost-effectiveness.

Able to carry out the R&D of new test socket whenever the market trend is needed.

Work closely with cross-functional teams, including Sales, Product Development, Process Engineering, and Manufacturing, to refine designs and ensure compatibility with testing equipment and processes.

Provide technical support to manufacturing teams during prototyping, production, and assembly to resolve any design-related issues.

Engage with customers and vendors to ensure all moulds, tooling and test socket solutions meet functional requirements and industry standards.

Oversee the prototyping phase, ensuring that initial designs are built and tested effectively.

Lead or participate in validation and testing efforts to ensure the tooling and test sockets perform under specified conditions (e.g., temperature, mechanical stress, electrical signals, thermodynamics).

Analyse test data and provide feedback for continuous improvement in design and materials.

Continuously seek to improve design efficiency and product performance, optimizing socket contact interfaces, reducing testing time, and improving signal integrity.

Innovate by introducing new design techniques, materials, or technologies that improve the quality, reliability, and cost of the test sockets and tooling solutions.

Stay up-to-date with the latest semiconductor technologies and testing methodologies to ensure cutting-edge designs.

Develop and maintain comprehensive documentation for all designs, including detailed engineering drawings, materials specifications, and manufacturing processes.

Create user manuals and technical documentation to guide customers and internal teams on the proper usage of tooling and test sockets.

Qualifications:

At least Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field.

Proficiency in & Hands-on experience with CAD software for mechanical design and simulation (e.g., CREO, SolidWorks, or AutoCAD).

Knowledge of materials science, particularly in relation to thermal management, wear resistance, and conductivity

Excellent problem-solving skills, with the ability to identify and address complex technical challenges.

Strong attention to detail and precision in design and documentation.

Ability to work independently and as part of a cross-functional team.

Effective communication skills for both internal team coordination and customer interactions.

Willingness to travel occasionally for customer visits, manufacturing site inspections, or vendor meetings.

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

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

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

What you will be doing:
- Ensure customer satisfaction

Job Description

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 for Cloud Data Engineer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Cloud Data Engineer

Job Description: A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• 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 / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 4 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, 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 : Seema Verma

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement:

We take your personal data protection seriously and adhere to both EU and local data protction regulations.

Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.

Flexible Services from Pinsent Masons Vario provides legal professionals access to high-quality legal work with top-tier clients.

Our growing hub of legal experts have a variety of skills, specialisms and experience but they all enjoy quality legal projects best suited to their skillset and unparalleled support during their assignments.

We are now looking to expand our bench with an exceptional legal professional with experience in data privacy law.

As a legal consultant, you will need:

• Minimum 8 PQE in-house or within a law firm
• Experience in providing subject legal advice relating to the entire life cycle of personal data from collection to deletion
• Ability to liaise and collaborating on privacy legal matters with, particularly understanding global positions derived from the GDPR and advising when local APAC legal considerations apply
• Experience in online technology and AI is preferred

To join our hub, you need to demonstrate the following:

• Qualified lawyer with a strong academic background
• Top international law firm or equivalent in-house/secondment experience
• Flexible, communicative and adaptable
• Enthusiastic about embracing new work cultures
• Rapidly develop close, trusting relationships

To Apply, click on “Apply” and attach your latest CV. Alternatively you can contact our Account Executive, Rachel Lee at [email protected] for a confidential conversation.

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· Responsible for the management n implementation of data center building projects

· Plan and prepare work schedules when the project are awarded.

· Coordinate and manage work schedule, time line , progress with vendor and external contractor.

· Manage technical submission document and ensure technical drawing n material spec requirement are adhered to

· Regular site walk, Update client n company of project progress

· Resolve site issue with multiple parties

· Prepare n produce T&C report, SAT report and Test Script based on project/site requirement.

· Prepare and coordinate for Integrated Services Test (IST) with multiple parties before opening of data center

· Prepare operation n maintainence manual (OMM) and handover certificate.

Requirements

· Min Diploma in Electrical/Mechanical Engineering

· 3 years’ experience in data center M&E project management

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

To ensure the DC and equipment are in functioning and operational condition, report if there is equipment fault.

- To assist to perform site preparations and liaise with the relevant vendors on tasks such as IT rack mount plan, structure network cabling system, power supply and electrical wiring, air-conditioning, UPS and etc when required.

- To plan, coordinate and execute any shutdown and power up machines (according to operation manual and SOP) when required by the Customer, to facilitate the activities related to electricity, power maintenance and enhancements. The service shall include polling the possible affected parties, obtaining the approval from the Customer’s Representative and sending out the broadcast messages.

- To ensure that all trouble-shooting, upgrade, maintenance work and any other activities that affect data centre availability must be carried out after operating hours and/or over the weekend at no additional cost to the Customer. All urgent faulty parts replacement of the equipment shall seek approval from the Customer’s Representative. The list of warranty and/or maintenance contract and documentation is covered under Server Management Services.

- To ensure all technical and operational issues, that will affect the daily operations of data centre, be resolved within the stipulated Service Levels.

- To advise and propose improvements to the current processes or procedures for better efficiency and to improve the security of the data centre. However, such proposals shall be subjected to the review and approval of the Customer.

- To monitor the environmental equipment in the Data Centre to ensure that they are within acceptable operating level and take corrective actions to rectify any defects affecting the following:

o Main and Backup Incoming Power Supply

o Uninterruptible Power Supply (UPS)

o Cooling System (Air-conditioning) and Leakage Detection

o Temperature and Humidity

o Rack Space

o Network Data/ Telecom Cabling

o Fire Protection and Fire Alarm System Status

o CCTV and Motion Detectors

o Cleanliness and Tidiness

o Equipment Movements and Storage Management

o Secure Disposal of Media and Documentation

- To take pre-emptive measures to prevent any outage or single point of failure in the Data Centre due to environmental factors. This shall include monitoring of environmental equipment and follow-up with the Customer’s sub-contractors or building management to ensure that defects are identified and corrected.

- To ensure that all equipment in the Data Centre is serviced in accordance with the equipment servicing schedule.

- To provide 1st level onsite problem identification, problem reporting and vendor support after operating hours at no additional cost to the Customer in the event that any environment element fault alert is triggered after the operating hours.

- To liaise with the Customer’s Building Management Unit (BMU) at the Customer’s sub-contractors for the maintenance and servicing of the equipment in the Data Centre:

o Power Supply

o UPS

o Cooling System (Air conditioning) and Leakage Detector

o Fire Protection System

o CCTV and Motion Detectors

- To liaise and coordinate with the Customer’s appointed third-party vendors for the servicing of computer equipment hardware.

- To document and track all equipment in the Data Centre. The format of documentation shall be approved by the Customer.

- To establish capacity plans by analyzing current Data Centre resources based on current load and information given by the Customer on future growth requirement.

- To carry out annual capacity planning for the Data Centre at dates mutually agreed by the Customer, so as to project the requirements of UPS, power points, network, rack space and other Data Centre peripherals resources needed.

- The capacity plan report shall be submitted to the Customer within TWO (2) weeks upon the completion of planning.