Total 4,015 data entry clerk job vacancies in Information Technology category in Singapore

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory or Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud.
• Build and manage ETL and ETL data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Responsibilities

• Responsible for designing, building, and configuring applications to meet business process and application requirements.

• Required to actively participate and contribute in team discussions, as well as provide solutions to work-related problems.

Requirements

• Degree/Diploma in Computer Science or related studies

• More than 3 to 5 years of experience in Databricks, Python.

• Need to have Python and Databricks skills. Working exp on AWS cloud is preferrable

Licence no: 12C6060

The resources will have the below qualifications:

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

Interested candidates, please send over your resume to [email protected]

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Why Join Us?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.

Become a maker of possible with us!

The responsibilities of this role are as follows:

• Leads the generation, curation and the data entry process for the data that supports the platform marketing investment
• Oversees strategic alignment around Data Governance between the functions, segments and regions.
• Oversees the execution of the processes & data quality governance model in the region impacting sales & marketing efforts
• Solutioning & drive data model that enabler quality analytics
• Drive business & customer requirements gathering, process definition and deployment of business requirements to E2E system and process solutions
• Keep abreast & adopt industry trends, best practices, and leading-edge technology and process improvement ideas
• Lead or co-lead project assign. Plan, drive business case and execution which include project documentation, success criteria, stake holder communication, resource and budget management.
• Drive Change Management for E2E process with clear RACI mapping and metrics owner for ongoing operational/business tracking to ensure sustainability
• Any other task assigns to support region business project / initiative as assigned

The Skills and Behaviors required for this role are as follows:

• Experience working effectively in a dynamic, matrixed, global organization including virtual teams
• Attain required expertise in all databases that house data for the sales & marketing platform (SAP, SFDC, PIM are examples)
• CRM data management experience and knowledge
• Proven experience in Project Management and ability to execute at tactical project-level activities and tasks
• Ability to learn new data systems and comfort in operating them
• Attention to detail and work accuracy
• Ability to recognize process improvement opportunities around data generation, entry and curation and elevate those opportunities to management
• Strong social, collaboration, communication (written and spoken) and presentation skills
• Good teamwork attitude and ability to work with ambiguity
• Strong sense of personal accountability to achieve goals
• Ability to complete defined tasks autonomously

Key Qualifications & Experience:

• Bachelor’s degree in engineering, Business, Data Analytics or Technology relevant discipline
• Minimum 8 years of business and/or functional operational, and consulting with project management experience
• Industry experience in biotech, pharma, or health tech/digital health is preferred but not required
• Familiar with technology tool support business and data management operation (SAP, Analytics tool, Sales Force, PIM) will be added advantage
• Good command of English

Click on apply if this sounds like you!

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

To learn more about BD visit: https://bd.com/careers

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Salary: $3800

Duration: 6 months contract

Working Days & Hours: Mon to Fri office hours

Location: Joo Koon

Job Description:

- Assist engineer in sample preparation

- Data collection

Job Requirements: Min GCE A LEVEL / DIPLOMA/Degree in Engineering

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

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

Job Description & Requirements

Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Night shift: Monday to Friday, 09:00am - 6:00pm

Work location

• 1001 Jalan Bukit Merah

Salary :

- nigt shift allowance

- pay rate according to load of work (per carton done)

Position Overview

The data migration and deployment lead will have to plan and execute end-to-end data migration and cutover activities. This lead role will need to liase with legacy systems and incumbent vendors to ensure migrated data is correct and complete according to the scope of work. He or she will also need to liase with various teams across the organization to plan and execute the cutover activities for each site roll out.

Role & Responsibilities

• Lead in data migration of records from existing systems to the new system and lead the system cutover for roll out to respective sites.
• Ensure the data migration and cutover processes, schedule and scope are met.
• Lead team to perform all data migration and cutover activities, data mapping, data collation from existing systems to the new system.
• Prepare data migration specs and cutover specs.
• Conduct code review, unit testing, integration test, data migration verification test, and cutover test activities.
• Troubleshoot issues and propose solutions in line with industry best practices.
• Manage vendors for responsibilities outlined in contracts and statement of work.
• Manage effective data migration uploads for testing and production rollout.

Requirements

• End-to-end experience and knowledge in planning and executing Data Migration tasks, as well as system cutover.
• Knowledge in SAP products such as ISH, BRIM, HANA, FICO would be advantageous.
• Effective vendor management skills required.
• Strong leadership skills required.
• Must be resourceful and take initiative to learn.
• More than 5 years of IT experience, in particular data migration would be an advantage.
• Must have a recognized IT degree.

Description

The Data Analyst is responsible for data preparation and analysis that will draw meaningful insights from complex datasets and help business identify strategies for decision making.

Responsibilities

1. Responsible for data cleansing, validation, aggregation and analysis

2. Develop and maintain analytics reports for strategic and business planning and improvement.

3. Apply statistical modeling techniques to analyze and interpret patterns from large data

4. Meet with key stakeholders to present and review data analysis and reports to support decisions

4.

Qualifications

1. Bachelors Degree in Statistics, Mathematics, Computer Science or related discipline

2. Analytical skills with ability to organize, maintain, process and analyze vast amounts of information and complex issues.

3. Experience in developing or maintaining SAS programs using Base SAS and Macros and SQL.

4. Ability to communicate findings in a clear, concise manner including verbally, graphically and in writing to a variety of audiences.

5. Nice to Have
Experience in visualization software such as SAS Visual Analytics, tableau or Qlikview

5 day week @CCK area (military camp)

Maestro HR

damien lee tian hong

R1106726

16C8462

• Perm
• At least 4 years of experience with strong proficiency in data analysis and utilizing visualization tools such as Tableau and Excel.
• Preferably with experience in SAP
• Keen to explore real estate management industries

Job Responsibilities

• Prepare and maintain monthly and ad hoc management reports to support strategic planning efforts.
• Provide data support during meetings and for ad hoc requests as needed.
• Assist in the implementation of digital transformation and process improvement projects.
• Ensure accurate and timely submission of gross sales turnover reports, along with detailed analysis of rental income, gross sales turnover, and occupancy costs.
• Conduct annual audits of leases and tenants, manage arrears, and handle tenant-related lease management tasks.
• Input and maintain data in the system, ensuring the lease document database is updated and monitored regularly.

Job Requirements

• A degree in Real Estate Management, Business Administration, Accounting, Finance, or a related field.
• 4 to 7 years of relevant experience.
• Proficiency in data analytics and visualization tools such as Tableau and Microsoft Excel.
• Experience with SAP systems and familiarity with the real estate industry is an advantage.
• You should be meticulous, diligent, highly organized, and demonstrate strong self-initiative.
• Excellent communication and interpersonal skills are essential for success in this role.

Triton AI Pte Ltd

Registration Number: R1980724

EA: 21C0661

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 imagination 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.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth. Typical Growth projects including creative generating, attribution, ads bot, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

- Participate in the construction of the indicator system for the international short video business, build reporting systems and other monitoring and early warning tools, and provide data support for business development;

- Support daily business analysis needs, deeply understand the business, clearly explain the business status through qualitative and quantitative analysis, gain insights into business problems, and propose data-driven optimization suggestions or solutions;

- Cooperate with industry research/data engineering/algorithms to support business strategy iteration through rigorous analysis, AB experiments, etc., quantitatively evaluate strategy effects and cost efficiency, and drive improvements in business indicators;

- The mentor provides one-on-one guidance and is good at thinking, summarizing, and precipitating analysis methodologies and data efficiency tools while supporting business development.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background with statistics, mathematics, computer and other related majors

- Familiar with commonly used statistical analysis methods, and proficient in using SQL, R, and Python languages;

- Familiar with commonly used machine learning tools and deep learning programming frameworks (Tensorflow/PyTorch/Scikit-learn/XGBoost, etc.);

Preferred Qualifications:

- Have excellent problem analysis and problem-solving abilities, and be passionate about solving difficult problems.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Bloomberg Data Technologies Engineering is seeking a strong Software Engineer with experience designing resilient distributed systems, strong implementation skills, and a passion for user experience of a platform.

Bloomberg delivers billions of data points to our customers each day and our clients heavily rely on comprehensive financial information including real-time market data to identify trends and gain data transparency so they can analyze the value of a potential investment, partnership, or acquisition target. In order to make this analysis possible for our clients, the Data Technologies Engineering department is responsible for designing and building large-scale sophisticated infrastructure and data processing pipelines to acquire financial reference information and pricing data from sources around the world (regulatory agencies, exchanges, central banks, buy-side and sell-side firms, website, news, feeds, etc).

We are Data Technologies Orchestration Platform team, and we develop an orchestration platform for the internal users both Engineers and Data Analysts to create a resilient, performant and easy to use data ingestion / analysis pipeline. Our tools are used extensively within the organization with hundreds of thousands of calls and we are in the process of re-architecting to better address the expanding use cases of our system.

We'll trust you to:

• Work with us to design the user-friendly, fault tolerant and scalable Orchestration Platform
• Participate in the full SDLC of various components and systems that make up of the orchestration platform
• Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams so that we can help more effectively
• Have your antenna up and bring the latest development in OSS into the development

You'll need to have:

• 4+ years experience writing production code in either Python, Rust, Go, JavaScript/TypeScript in a corporate environment
• 4+ years experience building fault-tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
• Having experience building client facing (internal or external) platform at scale
• Bachelor’s degree or degree-equivalent qualifications in Computer Science (or similar field of study)
• Fluency in both written and spoken English
• Demonstrated continuous career growth within an organisation

We'd love to see:

• Knowledge of Database Systems and trade offs in the distributed systems
• Experience working with distributed queue systems like Apache Pulsar, Kafka, RabbitMQ, ActiveMQ and Database Systems like Cassandra, PostgreSQL etc
• Experience with DataFrame processing systems like Pandas, Polars, Spark, Modin, Ibis and declarative languages on top of it like SQL variants and substrait
• Familiarity with API Designs
• Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, etc.
• Experience working with and designing systems utilizing AWS

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
• Collaborate with cross-functional teams including, finance, logistics and operations to implement data-driven solutions and process improvements
• Steer improvement mindset and adoption of new technologies & processes
• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Bachelor's degree in Maritime, Data Science, Statistics or equivalent with at leats 1-2 years of experiences is advantageous
• Possess excellent data management, spreadsheet, and presentation skills.
• Knowledge in Tableau, Power BI preferred

If you meet the requirements of this role, please email a detailed resume in Word document to Chloe Tan Hui Lin.

Chloe Tan Hui Lin
CEI Registration No.: R1765524
Email: [email protected]
Recruit Express Pte Ltd
EA99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.

Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

Responsibilities:

• Understand the questionnair flow to come up with a suitable user interface and validation criteria.
• Create surveys in system by building questions, branching and error prompts.
• Create visually appealing and user-friendly solutions to improve engagement and satisfaction.
• Perform user acceptance testing, debugging of system issues and follow up with users on deployment/system issues.
• Collaborate with stakeholders to identify opportunities for process improvements and recommend system modifications.
• Communicate with stakeholders to ensure a smooth workflow throughout the survey.
• Document information from surveys creation to allow others to replicate the steps.
• Independent in handling surveys end-to-end; including dealing with issues arising from survey system.
• Design and implement experiments to test hypotheses and validate model performance
• Collaborate with internal and external stakeholders to create data solutions to suit their business needs

Requirements:

• Proficient in Python or R programming language
• Sound knowledge in Statistics and Machine Learning
• Experience in IT or database administration a plus
• Experience in UI/UX will be advantageous
• Analytical and logical thinking
• Good communicator and team player
• 5 days work week
• 6 months contract with possiblity of extension
• Location Central
• Salary up to $4,200 depending on experience

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

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• Reg No: R1982883 (Koh Wei Ling, Gao Weiling)

GOREF:9039

Qualifications-

• 3-5 years of experience in data engineering or a related field.
• Strong knowledge of data warehouse concepts, ETL processes, and data modeling techniques.
• Experience with cloud-based data platforms (e.g., AWS, SnowFlake).
• Proficiency in SQL and experience with NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance principles and data privacy regulations.

Job-Specific Technical Skills:

• Proficiency in Python or Scala for data processing and automation.
• Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, PowerBI) to support data quality checks and pipeline monitoring.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with container technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Understanding of data security best practices and implementation.

Qualifications

Required Experience and Knowledge

• 2-3 years of experience in data science, machine learning, or a related field.
• Strong foundation in statistical analysis and machine learning algorithms.
• Proficiency in Python or R for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
• Understanding of customer lifecycle management concepts and metrics.

Job-Specific Technical Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of SQL for data extraction and manipulation.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with version control systems (e.g., Git).
• Understanding of data visualization principles and tools.

This role is responsible for the design, development, testing, implementation and maintenance of data integration and data management solutions

Duties & Responsibilities Project & Support Tech Lead role

• Drive requirements gathering workshops to study as-is systems and processes and identify gaps between proposed design and gathered requirements
• Responsible for the high-level and detailed technical solution and design in adherence to data management and organization’s IT policies
• Responsible for the design, development, testing and implementation of data integration and data management solutions
• Responsible for data profiling and data quality improvement recommendation
• Lead technical members from different teams to deliver the end-to-end solution that meets time, scope and quality requirements
• Work with data engineers, data analysts and data scientists in the implementation of analytics solutions
• Work with OLTP systems and Enterprise Integration teams in the implementation of end-to-end data integration solutions

Tech research / evaluator role

• Responsible for greenfield data management technology exploration, innovation, evaluation and implementation
• Produce training materials and provide cross-skill / up-skill training or coaching to technical members

Requirements(Please state Qualification, Years of Experience, Knowledge & Skills required.) Work Experience

• At least 10 years of IT working experience, with 6 years strong experience in Informatica as ETL Architect/Lead and 2 years leading remote team.

IT Technical skills & knowledge

• Solid SQL skills, including experience querying and tuning large, complex data sets and performance analysis
• Knowledge in Python
• Must have Azure Data Factory, or Azure synapse analytics or Fabric Data Pipelines
• knowledge in MQuery or Dataflow Gen2
• Strong knowledge in ETL implementation from source APIs to target data stores like Azure, Amazon S3 and on-premises storage
• Good knowledge in network and/or operating systems
• Possess working experience in using globally recognized frameworks such as DAMA, ITIL, TOGAF, ISO/IEC27001 or CoBIT
• Certification in Microsoft Certified Fabric Analytics Engineer Associate preferred
• Data security, protection or privacy related certification is bonus

Non-IT skills

• Solid skills in cost-benefit analysis, selection, and implementation of data management technology to an organisation
• Experience in writing RFP specification is preferred

Education

• Degree or diploma in Data Engineering, Business Analytics, Information Technology, Computer Science or equivalent.
• Candidates with qualifications covering Business & IT domains are preferred

Other behavioural attributes

• Evidence of self-learning attitude to continuously improve knowledge and skills
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors
• Empathic personality with ability to communicate with all levels of management, users, and vendors. Has history of establishing win-win negotiation outcomes.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Internal ref: 9235

Regards,

Lini

Recruitment Consultant

R22108463

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

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