Total 4,032 data entry job vacancies in Information Technology category in Singapore

Must-Have Skills:

1. Programming languages: Python / Spark.
2. Experience with Linux utilities & SQL.
3. Experience using PySpark for data transformation.
4. Knowledge of AWS services (Redshift, Glue, Cloudformation, EC2, S3, Lambda).

Good-to-Have Skills:

• ETL tool experience.
• AWS exposure.

Key Responsibilities:

1. Develop ETL pipelines in open-source tools to support data ingestion.
2. Write programs to extract data from the data lake and curated data layer.
3. Collaborate with different teams to design the ETL pipeline.
4. Gather and translate business requirements into scalable, operable solutions.
5. Participate in the full development lifecycle, including documentation, delivery, and support.

Data Engineer

Responsibilities

• Design, develop, implement high performance, at-scale data solutions/pipelines (e.g. batch, real-time) to process large volumes of varied data formats from disparate sources
• Analyse, design and develop data elements/flows, dependencies and relationships, and physical/logical data models
• Maintain, monitor, optimise/tune performance, diagnose and troubleshoot data pipelines, processes and any data exchanges with other applications
• Prepare progress and activity reports on the platform’s status and health (e.g. SLAs, data quality)
• Collaborate with data scientists/analysts to develop and implement end-to-end data solutions
• Work on Agile/DevOps technologies, micro-services, and APIs

Requirements

• Bachelor’s degree in Computer Science/ Engineering, Information Systems, or related field
• 2-3 years of relevant working experience
• Previous experience in designing and developing data models, multiple data source integration, ETL/ELT pipelines
• Experience with Snowflake cloud data warehouse and relational SQL databases
• Familiarity with MS Azure Cloud computing (ADF, Databricks, ADLS, Azure Functions, Azure Stream Analytics etc.)
• Experience with Python, R, Linux/Unix/Windows scripting would be an added advantage
• Experience in development and collaboration tools (e.g. GitLab, Jira, Confluence)
• Effective verbal and written communication with ability to write thorough and clear documentation

Summary:

• Basic up to $3500
• Location: East (Tai Seng)
• 5 Days, Office hours
• Attractive employee benefits

Responsibilities:

• Create, edit, and maintain comprehensive technical documentation, including instruction manuals and installation guides.
• Develop and uphold documentation templates, systems, and standard operating procedures (SOPs) to ensure uniformity and clarity across all materials.
• Collaborate with engineers and product managers to gather and analyze information on freezer or cooking machinery and associated software.
• Simplify complex technical concepts and instructions into easily understandable language for technicians and engineers.
• Participate in cross-functional teams from Europe and America to ensure effective documentation of new machinery features and software updates.

Requirements:

• Basic knowledge of Autocad and Solidworks is advantage
• Min Diploma or Degree in mechanical engineering or similar discipline

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

OPERATIONS EXECUTIVE

Location: Central (Newton)

Working Hours: 5 Days Work Week (Mon-Fri), Office Hours (8.30am to 5.30pm)

Remuneration Package:

• Basic Up to S$ 3500
• Performance Bonus
• Flexi Dollars

Responsibilities:

• Support the Financial Services operational team
• Collate all operational documentation for the business unit
• Ensure operational documentation are updated
• Process loan disbursement and perform data entry
• Check and verify loan documents before payment
• Perform transfer of vehicle ownership
• Manage and attend to e-mails from business associates as well as internal staff
• Provide regular reports to the team

Requirements:

• At least GCE O level
• Proficient in MS Office
• Meticulous and organized
• Able to multi-task and work independently without much supervision
• Good interpersonal and communication skills
• Proactive with positive attitude

Please be notified that only shortlisted candidates will be notified.

Ian Fong | R22106545

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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

About Us!

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better housing policies service, improving service delivery and optimising operations.

What Will You Do?

As a data engineer, you will play a key part in helping HDB begin its journey to be data-driven to the core. In this role, you will assume the following responsibilities:
• Create and maintain data architectures that meets the needs of HDB.
• Build and maintain data platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.
• Improve discoverability and distribution of analytical data to data analysts and data scientists.
• Implement best practices in data security throughout the lifecycle of analytical data.

You will be a Great Fit if you:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.
• 3 years relevant experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines is preferred.
• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).
• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow
• Knowledge of the latest developments in data engineering and best practices in data management.
• Knowledge of analytical tools is an advantage e.g., SAS Viya, Tableau, PowerBI, Amazon SageMaker, ArcGIS Pro
• Knowledge in cloud computing, design and development is an advantage e.g., AWS, Azure, GCP
• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse.
• Strong project management and organization skills.
• Possess an eagerness to learn and impart new skills.
• Be a good team player.

Good to Have:

- Great Attitude to bring the best out our team
- Team Player; we work together as a team
- Possess an eagerness to learn and impart new skills
- Autonomous & Take ownership

Fresh graduates are welcomed.

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15180322/3b1ec30b-7530-1eef-a0bf-708d55a001ea

• Chance to lead a global data warehouse infrastructure in a leading tech company
• It provides leadership opportunities, allowing you to guide a team

About Our Client

The client is a globally recognized leader in short-form mobile video, offering an innovative platform that inspires creativity and brings joy to billions of users worldwide. With a presence in major cities like Los Angeles, Singapore, New York, and London, they are at the forefront of digital entertainment and technological innovation. Working here means being part of a vibrant, forward-thinking team where every challenge is viewed as an opportunity to learn, innovate, and make a global impact. This is a place where creativity thrives, and bold ideas are encouraged to shape the future.

Job Description

• Lead the design and management of the data warehouse infrastructure, ensuring alignment with business needs and industry standards.
• Drive the development and optimization of ETL processes and real-time data pipelines.
• Create and maintain data products that deliver valuable insights for business decision-making.
• Oversee the rollout, upgrade, and enhancement of data systems to improve efficiency.
• Manage analytics applications and visualization tools to transform data into actionable insights.
• Mentor and guide team members, fostering a collaborative and innovative work environment.
• Collaborate with business units to translate requirements into effective data solutions.

The Successful Applicant

• Minimum of 5 years of experience in data engineering and data warehouse concepts
• Proven experience in designing and maintaining complex ETL pipelines with high reliability and security
• Expertise in distributed computing engines such as Hive, Spark, Hadoop or Flink
• Strong problem-solving and data modeling skills
• Attention to detail with a focus on optimizing data systems and processes
• Excellent communication skills to collaborate with cross-functional teams
• Leadership abilities to mentor and guide team members

What's on Offer

• Competitive Salary: Attractive compensation package
• Growth Opportunities: Professional development and career advancement in a fast-paced environment.
• Innovative Projects: Work with cutting-edge data technologies impacting millions globally.
• Collaborative Culture: Join a diverse team that values creativity and teamwork.
• Comprehensive Benefits: Health insurance, wellness programs, and paid time off.
• Global Exposure: Collaborate with teams from various countries.

Contact

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

Quote job ref

JN-102024-6551971

Phone number

+65 6416 9829

Page Personnel Recruitment Pte. Ltd.| Registration No. 201736642C

As a Data Engineer with expertise in Databricks, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the cloud. You will play a key role in enabling data analytics, machine learning, and data-driven decision-making processes by leveraging the full potential of Databricks and its integration with big data technologies.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and optimize robust ETL pipelines using Databricks and Apache Spark for processing large-scale datasets. Ensure data pipelines are scalable, efficient, and capable of handling both batch and streaming data
• Databricks Platform Expertise: Leverage the Databricks platform to perform data transformations, data integration, and advanced analytics. Use Databricks notebooks for building reusable data pipelines, automating workflows, and ensuring data quality
• Cloud Data Engineering: Build, deploy, and manage data infrastructure on cloud platforms (e.g., Azure, AWS, GCP) using Databricks and other cloud-native tools. Work with Delta Lake and data lakehouse architectures to enable reliable and real-time data analytics
• Data Modeling & Optimization: Develop and maintain data models that optimize query performance and support analytics use cases. Implement data partitioning, indexing, and caching strategies in Databricks to improve performance and reduce costs
• Collaboration with Data Teams: Collaborate with Data Scientists, Data Analysts, and other stakeholders to understand business requirements and translate them into scalable data solutions. Ensure data is easily accessible for analytics and reporting
• Big Data Processing: Implement and maintain big data pipelines using Apache Spark on Databricks, focusing on high-performance processing of large datasets. This includes batch processing, real-time streaming, and machine learning workflows
• Automation & Orchestration: Build automated data workflows using tools like Airflow or cloud-native orchestrators. Ensure data workflows are resilient, monitor performance, and handle failure gracefully
• Data Governance & Security: Ensure all data solutions adhere to organizational data governance and security standards. Implement role-based access controls, data masking, and encryption in Databricks to maintain data privacy and security
• Performance Tuning: Continuously monitor and optimize data pipeline performance. Utilize Databricks features such as auto-scaling, caching, and cluster management to ensure optimal cost-efficiency and performance
• Documentation & Best Practices: Develop and maintain comprehensive documentation for data pipelines, models, and architecture. Promote best practices in data engineering and drive continuous improvements in processes and technology

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• Proven experience as a Data Engineer, with a focus on building data pipelines and solutions using Databricks
• Strong knowledge of Apache Spark and experience in optimizing Spark jobs
• Proficiency with cloud platforms such as Azure, AWS, or Google Cloud, and familiarity with Delta Lake or data lakehouse architectures
• Experience with data modeling, performance tuning, and SQL
• Hands-on experience with Python or Scala for data processing and workflow automation
• Familiarity with data orchestration tools such as Airflow, Databricks Workflows, or similar
• Knowledge of data governance, security, and compliance best practices in the cloud
• Experience with CI/CD pipelines and DevOps for data engineering

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

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.

Data Analyst

Job Requirement:

• 3 to 5 years of Experience with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting.
• Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting.
• Knowledge of SQL for data manipulation.

Responsibilities:

We are looking for Data Analyst to support the design, development, and implementation of various dashboard requirements. Collaborate closely with a team of data analysts and business users throughout each project stage to ensure timely and high-quality delivery of dashboard solutions.

1) Requirements Gathering:
a) Gather and analyze requirements from business stakeholders.

2) Data Preparation:
a) Clean, transform, and analyze data to ensure its suitability for dashboard development.
b) Perform data discovery and analysis from the bank’s data platform to assess the feasibility of requirements.

3) Dashboard Design:
a) Conceptualize dashboard designs through wireframes and prototypes.
b) Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics.
c) Apply best practices in user interface (UI) and user experience (UX) design.

4) Testing & Troubleshooting:
a) Conduct testing and troubleshooting to ensure dashboard functionality and performance across different devices and platforms.

5) Training:
a) Conduct training sessions and roadshows to promote awareness and usage among target users.

6) Additional Tasks:
a) Assist with other data discovery tasks (non-dashboard related) that the team is working on.

8) Analytical Skills:
a) Convert data into meaningful information and insights.

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)

Job Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 5+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

About Us!
The mission of the Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB strives to be data-driven to the core, adopting evidence-based decision making to develop better housing policies service, improve service delivery and optimise operations.

What Will You Do?

As a data scientist, you will play an important role in supporting HDB on its journey to become data-driven to the core. In this role, you will assume the following responsibilities: 

• Provide guidance to business units on data science techniques and how it may help them 
• Conceptualise and execute data science projects for business units
• Apply analytical techniques such as data mining, statistical analysis, machine learning etc.
• Uncover actionable insights and present them clearly in an easy-to-understand manner
• Work with IT and Internal Audit units to operationalise data science projects by deploying them into production and maintaining them
• Document, share and continuously improve data science practices 
• Manage a range of stakeholders, while remaining focused on delivering high-impact data-driven outcomes for the good of the organization.

Some of the projects that you might be involved in include:
• Data visualization for pattern and trend identification
• Anomaly detection via machine learning algorithms
• Analysing textual data for insights and compliance issues
• Identifying trends and deviations for further investigation

You will be a Great Fit if you:

• Possess a relevant background (i.e., Bachelor’s, Master’s preferred) in Statistics, Data Science, Machine Learning, Economics, Mathematics, Operation Research, Computer Science or related technical field from a reputed institution. 
• Have 2+ years of relevant work experience in a business analytics or data science facing role
• Are experienced in use cases related to audit/compliance will be beneficial
• Are proficient in analytical tools such as Python, R, Tableau, etc.
• Have strong analytical, project management and organization skills

An Ideal Candidate would be:
- A team player who loves working with diverse teams
- Passionate about working in the public service for the public good
- Independent and self-driven
- A clear and competent communicator

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15180394/3b1ec30b-7530-1eef-a0bf-aff7933461ea

JOB PURPOSE:

We are looking for a passionate and quick-thinking individual. This successful candidate will transform raw data into meaningful and insightful information, that empowers our business users for better decision making.

KEY RESPONSIBILITIES:

• Learn and understand WSI Sourcing business workflow and data requirements.
• Interpret data, analyze results using data collection techniques and providing reports & dashboards
• Develop and implement data collection techniques where needed, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain good data in our database systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

JOB HOLDER’S COMPETENCIES & EXPERIENCE:

• Degree/Diploma Computer Science, Information Management or Statistics, Mathematics
• At least 5 years of working experience as a data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Proficient in writing and optimizing SQL statement, and programming (XML, data transformation services, ETL)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Experience with using or implementing Power BI would be advantageous
• Proficient in data automation
• Experience with application of Large Language Models would be advantageous

Job Description:

• 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation.
• Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
• Banking Experience and Corporate Credit Domain Knowledge is must.
• Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
• Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric.
• Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution.
• Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.
• Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies.
• PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

Additional Skills

• Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access.
• RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g.
• Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting.
• Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean.
• TOGAF for Architecture, DAMA – DMBoK.

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.

Job Description:

• Expertise in Python, PySpark, and SQL to join our dynamic team.
• The ideal candidate will have a strong programming background and experience in the financial industry.
• Proficiency in SAS programming and the ability to speak Chinese are considered a plus.
• Programming and ETL: Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.
• Perform code reviews and discovery.
• Conduct ETL processes to create data pipelines.
• Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.
• Data Reconciliation: Conduct sophisticated data reconciliation to identify data issues.
• Support investigation processes to resolve data discrepancies.
• Data Visualization: Develop visualizations for business problem-solving and control tower purposes using Tableau.

Requirements:

• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus.

• 4- 9 yrs and 6-9 yrs experience.

Responsibilities:

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

Key Qualifications/Requirements:

• Bachelors (w/ min. 3 yrs of relevant working exp.)/ Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp.Computer Science,
  Data Science,
  Statistics Applied Sciences, or related field.
  

Work experience/Skillset:

• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

• West Location
• Reputable Transportation Company
• Good company benefits

As a Data Administrator, you will be responsible for the following duties:

• Verify details (Model/ Mover/ Company Name)
• Verify if inspection is required
• Determine if the customer is using our account or their own account for inspection
• Review Before & After Repair Photos
• Upload Photos to ensure all billed items have corresponding photos
• Check all WhatsApp messages
• Ensure every completed job is accounted for and submitted in system
• Review job scope details
• Verify unclear issues with workshop workers or prepare to address potential errors
• Based on system requirement, list out the complete job scope in the maintenance report
• Email the maintenance report to the customer
• Email the billing department with necessary details
• Purchase goods or services that meet the quantity and quality expectations of the organization
• Evaluate and negotiate contracts with vendors
• Track inventory and restock goods when needed
• Stay up to date on industry trends and new products
• Compare available goods with industry trends to determine appropriate pricing

Requirements

• Candidate who is IT savvy will be an added advantage
• Candidate who have 1 year of administrative/ customer service experience will be an added advantage

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email
Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Responsibilities:
Model Development:
● Develop and refine machine learning models to improve chatbot performance intasks such as intent classification, dialogue management, and sentiment analysis.
● Experiment with different models and algorithms to achieve optimal results.
● Collaborate with engineers to integrate models into the VICA platform.

Data Analysis:
● Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.
● Utilize statistical techniques and visualization tools to communicate findings effectively.
● Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

Natural Language Processing:
● Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.
● Explore cutting-edge NLP methods to enhance chatbot capabilities.

Innovation:
● Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.
● Propose and implement innovative solutions to address chatbot challenges and improve user experience.

Collaboration:
● Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:
* Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).
* Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.
* Strong understanding of Natural Language Processing (NLP) concepts and techniques.
* Experience working with real-world, large-scale datasets.
* Excellent communication and collaboration skills.
* Ability to work independently and manage multiple projects simultaneously.
* Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

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.

Key Skills: AWS, Databricks

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

* Minimum 10 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.

Preferred Skills:

* Experience with big data technologies like Apache Spark and Hadoop on Databricks.

* Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

* Familiarity with data visualization tools like Tableau or Power BI.

* Knowledge of containerization and orchestration tools like Docker and Kubernetes.

* Understanding of DevOps principles for managing and deploying data pipelines.

* Experience with version control systems (e.g., Git) and CI/CD pipelines.

The Data Remediation Specialist will be responsible for managing and remediating client and account static information in the bank’s core systems. The role involves correcting data anomalies, ensuring data quality, and collaborating with cross-functional teams to streamline processes. The ideal candidate should have strong analytical skills, attention to detail, and the ability to work with sensitive client data while ensuring compliance with internal policies.

Key Responsibilities:

• Oversee client and account static data for all post-onboarding maintenance within the bank’s core systems.
• Conduct dedicated client data remediation, such as client contact information updates and marketing consent flags adjustments.
• Identify and resolve prioritized data quality issues raised by front office or other functions (e.g., dummy client identifier clean-up).
• Address client data anomalies immediately or through prioritized remediation.
• Collaborate with cross-functional teams to explore automation opportunities for manual data remediation tasks.
• Utilize innovative tools and systems to detect and resolve data quality issues more efficiently.
• Investigate corrective actions required for client data discrepancies, including reviewing source documentation when needed.
• Execute corrective actions and propose system or process changes to prevent recurring data issues.
• Provide weekly progress reports to the Client Data Steward to track data remediation efforts.
• Execute periodic test rules from the Data Detective Tool to detect and report client data anomalies.
• Ensure the appropriate and confidential handling of sensitive client data in accordance with internal policies.
• Escalate red flags and data issues according to established procedures.
• Ensure timely follow-up and escalation of issues to stakeholders as needed.
• Complete delegated and ad-hoc tasks within established timeframes.

Qualifications and Skills:

• Bachelor’s degree in Data Management, Information Technology, Business Administration, or a related field.
• 2+ years of experience in data remediation, data management, or a similar role in a financial services environment.
• Strong analytical skills with a high attention to detail.
• Proficiency with data quality management tools and processes.
• Ability to collaborate with cross-functional teams and communicate effectively with stakeholders.
• Experience with automation tools and data management systems is a plus.
• Excellent organizational and time-management skills, with the ability to handle multiple tasks and meet deadlines.
• Knowledge of regulatory requirements and best practices for managing sensitive client data.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

Responsibilities:

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

Job Description:

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

Requirements:

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

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

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

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

Responsibilities

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models
• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework.
• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)

Skills/Requirement

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent.
• Extensive exposure, i.e. three (3) to five (5) years’ experience, in the operations & maintenance, and use of AWS and Databricks with ability to diagnose and troubleshoot errors.
• Extensive exposure, i.e. three (3) to five (5) years’ experience, to diagnose and troubleshoot errors in the operations & maintenance of Linux (v7 and above) and Windows (v2019 and higher) on premise or cloud (AWS).
• Strong SQL skills, i.e. Oracle, Databricks, Teradata, MS-SQL server databases.
• Thorough understanding of data warehouse concepts, dimensional design, and data lake-house.Development practices with data exchange architectures: webservice, API, streaming.
• Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)
• Knowledge of Microsoft Power BI, data catalog tool, data quality, data management

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

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If you're equally passionate about nurturing talent and building cutting-edge data platforms, you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data.

As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes.

What you’ll be doing (Role responsibilities)

Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

• Engineering teams across the company that produce or consume data that need to be combined with other data sources, and
• Data analysts and scientists working on stream-aligned projects across the company

As a Data Engineering Manager, you will:

• Be a people-manager for a team of data engineers and analytics engineers, including
  • Coaching your team members in executing their tasks
  • Clearing technical and organizational blockers for them, and
  • Mentoring them on their own career goals and skill development
• Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running.

As a senior team member in the Data Engineering Team, you will:

• Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data
• Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making
• Liaise with our internal customers to understand their needs and convert them to technical requirements
• Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers
• Provide tools, training, and coordination to stakeholders across the organization

Role requirements

We seek candidates with most, or at least some, of the following skills and experience:

• 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans.
• Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses.
• Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI.
• Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS.
• Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Some nice-to-haves are:

• Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently.
• Experience in infrastructure-as-code tools like Terraform.
• Understanding of data privacy and security and how they are implemented in engineering systems.