1,872 Big Data jobs in Singapore

Key Responsibilities

• Lead the design and implementation of a high-performance, real-time data platform for financial systems, supporting petabyte-scale daily transaction data across ingestion, storage, and computation layers.
• Architect a cloud-native data warehouse solution on AWS, incorporating Spark and Flink to support both batch and streaming use cases with millisecond-level latency for payment data insights.
• Partner with key business units (e.g., acquiring and issuing teams) to develop data masking and auditing mechanisms that comply with PCI DSS and other regulatory standards.
• Design and maintain dashboards that enable data-driven decision-making across business functions.
• Integrate data from diverse payment systems to enable consistent, reliable, and scalable data flow across platforms.
• Own the full data pipeline—from ingestion and processing to modeling and standardization—ensuring high data quality, consistency, and accessibility.
• Enable cross-functional teams by driving data standardization, automation, and seamless access to clean, actionable datasets.
• Collaborate with compliance, risk, and product teams to deliver secure and reliable data solutions in a regulated environment.

• Minimum 5 years of experience in data engineering or data warehouse development, with a strong track record of independently building scalable data platforms.
• Expertise in big data ecosystems and technologies, particularly Hadoop, Spark, and Flink, with deep knowledge of performance optimization techniques (e.g., shuffle tuning, checkpointing).
• Proficient in dimensional data modeling (e.g., star schema), ETL development, and data governance best practices.
• Industry experience in payments, fintech, or internet platforms is highly desirable; familiarity with payment data structures is a significant advantage.
• Strong interpersonal and communication skills, with the ability to work cross-functionally with product, compliance, and risk stakeholders.

• Previous experience at a fintech or payment processing company.
• Proven success delivering end-to-end data platforms and analytical dashboards from the ground up.
• Knowledge of data compliance standards and secure data handling procedures.

Job Title: Big Data Engineer (Java, Spark, Hadoop)

Location : Singapore

Experience : 7- 12 years

Employment Type : Full-Time

Open to Citizens and SPR only | No Visa sponsorship available

We are looking for a Senior Big Data Engineer with 7–12 years of experience to join our growing data engineering team. The ideal candidate will bring deep expertise in Java , Apache Spark , and Hadoop ecosystems, and have a strong track record of designing and building scalable, high-performance big data solutions. This role is critical to ensuring robust data processing and delivering clean, actionable data for business insights and advanced analytics.

• Design, build, and optimize large-scale, distributed data processing systems using Apache Spark , Hadoop , and Java .
• Lead the development and deployment of data ingestion , ETL/ELT pipelines , and data transformation frameworks .
• Work with cross-functional teams to gather data requirements and translate them into scalable data solutions.
• Ensure high performance and reliability of big data systems through performance tuning and best practices.
• Manage and monitor batch and real-time data pipelines from diverse sources including APIs, databases, and streaming platforms like Kafka .
• Apply deep knowledge of Java to build efficient, modular, and reusable codebases.
• Mentor junior engineers, participate in code reviews, and enforce engineering best practices.
• Collaborate with DevOps teams to build CI/CD pipelines and automate deployment processes.
• Ensure data governance , security , and compliance standards are maintained.

• 7–12 years of experience in big data engineering or backend data systems.
• Strong hands-on programming skills in Java ; exposure to Scala or Python is a plus.
• Proven experience with Apache Spark , Hadoop (HDFS, YARN, MapReduce), and related tools.
• Solid understanding of distributed computing , data partitioning, and optimization techniques.
• Experience with data access and storage layers like Hive , HBase , or Impala .
• Familiarity with data ingestion tools like Apache Kafka , NiFi , Flume , or Sqoop .
• Comfortable working with SQL for querying large datasets.
• Good understanding of data architecture , data modeling , and data lifecycle management .
• Experience with cloud platforms like AWS , Azure , or Google Cloud Platform .
• Strong problem-solving, analytical, and communication skills.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Experience with streaming data frameworks such as Spark Streaming , Kafka Streams , or Flink .
• Knowledge of DevOps practices , CI/CD pipelines, and infrastructure as code (e.g., Terraform).
• Exposure to containerization (Docker) and orchestration (Kubernetes) .
• Certifications in Big Data technologies or Cloud platforms are a plus.

Please note that this is an equal opportunities employer.

Roles & Responsibilities

Job Summary:

We are looking for an experienced Big Data Engineer with at least 5 years of experience in managing data pipelines and processing within Big Data environments (e.g. Cloudera Data Platform). The role involves designing, developing, and maintaining data ingestion and transformation jobs to support analytics and reporting needs.

Key Responsibilities:

• Design and develop data ingestion, processing, and integration pipelines using Python, PySpark, and Informatica.
• Analyse data requirements and build scalable data solutions.
• Support testing, deployment, and production operations.
• Collaborate with business and technical teams for smooth delivery.
• Drive automation, standardization, and performance optimization.

Requirements:

• Bachelor's degree in IT, Computer Science, or related field.
• Minimum 5 years' experience in Big Data Engineering.
• Hands-on skills in Python, PySpark, Linux, SQL, and ETL tools (Informatica preferred).
• Experience with Cloudera Data Platform is an advantage.
• Knowledge of data warehousing, Denodo, and reporting tools (SAP BO, Tableau) preferred.
• Strong analytical, problem-solving, and communication skills.

Job Type: Contract

Position Details:

Company : U3 Infotech (Payroll)

Role : Big Data Engineer

Position : Contract

Duration : 12+ Months

Location : Singapore

Job Description:

We are seeking a highly skilled and motivated Lead Big Data Engineer to join our data team. The ideal candidate will play a key role in designing, developing, and maintaining scalable big data solutions while providing technical leadership. This role will also support strategic Data Governance initiatives, ensuring data integrity, privacy, and accessibility across the organization.

Key Responsibilities:

● Design, implement, and optimize robust data pipelines and ETL/ELT workflows using SQL and Python.

● Lead architecture discussions, including the creation and review of Entity Relationship Diagrams (ERDs) and overall system design.

● Collaborate closely with Data Engineers, Analysts, and cross-functional engineering teams to meet evolving data needs.

● Deploy and manage infrastructure using Terraform and other Infrastructure-as-Code (IaC) tools.

● Develop and maintain CI/CD pipelines for deploying data applications and services.

● Leverage strong experience in AWS services (e.g., S3, Glue, Lambda, RDS, Lake Formation) to support scalable and secure cloud-based data platforms.

● Handle both batch and real-time data processing effectively.

● Apply best practices in data modeling and support data privacy and data protection initiatives.

● Implement and manage data encryption and hashing techniques to secure sensitive information.

● Ensure adherence to software engineering best practices including version control, automated testing, and deployment standards.

● Lead performance tuning and troubleshooting for data applications and platforms.

Required Skills & Experience:

● Strong proficiency in SQL for data modeling, querying, and transformation.

● Advanced Python development skills with an emphasis on data engineering use cases.

● Hands-on experience with Terraform for cloud infrastructure provisioning.

● Proficiency with CI/CD tools, particularly GitHub Actions.

● Deep expertise in AWS cloud architecture and services.

● Demonstrated ability to create and evaluate ERDs and contribute to architectural decisions.

● Strong communication and leadership skills with experience mentoring engineering teams.

Preferred Qualifications:

● Experience with big data technologies such as Apache Spark, Hive, or Kafka.

● Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes).

● Solid understanding of data governance, data quality, and security frameworks.

About the Company

U3 Infotech is a Technology Solutions, Managed Services, and Talent Management Solutions company with over 2 decades of experience in the APAC region since 2002. Our clients include Fortune 100, MNCs, Leading Regional Organisations, Government organizations, and Startups. We work with clients across Banking, Insurance, Bio-Science, Pharmaceutical, Healthcare, Engineering, Product, and Supply Chain domains.

We have been growing rapidly through value creation, solving complex problems, and addressing the opportunities of our clients' businesses. We differentiate ourselves through our deep commitment at all levels, entrepreneurial mindset, outcome-driven approach, and financial resources.

Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Cheers Stay Safe & Healthy.

Thanks and Regards,

Raghunath

Senior Recruitment Consultant

Talent Acquisition Team

Mobile:

Email:

133 Cecil Street, Keck Seng Tower, #14-3,

Singapore

Singapore | Australia | Malaysia | Thailand

Vietnam | India | Philippines| Hong Kong

Job Types: Full-time, Contract

Contract length: 12 months

Pay: $10, $11,000.00 per month

Benefits:

• Health insurance

Work Location: In person

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa. About the team Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users.

We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

• Design and implement a reasonable offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable and high-performance storage and computing systems
• Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

Minimum Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience
• Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang
• Effective communication skills and a sense of ownership and drive
• Experience of Peta Byte level data processing is a plus

Experience

• Hands-on Big Data experience using common open-source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, K8S, Kafka).

• Experience in stakeholder management in heterogeneous business/technology organizations.

• Experience in banking or financial business, with handling sensitive data across regions.

• Experience in large data migration projects with on-prem Data Lakes.

• Hands-on experience in integrating Data Science Workbench platforms (e.g., KNIME, Cloudera, Dataiku).

• Track record in Agile project management and methods (e.g., Scrum, SAFe).

Skills

• Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions.

• Expert SQL skills, preferably in mixed environments (i.e., classic DWH and distributed).

• Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs.

• Data preparation for reporting/analytics and visualization tools (e.g., Tableau, Power BI or Python-based).

• Applying a data quality framework within the architecture.

Role description

• Datasets and data pipelines preparation, support for Business, data troubleshooting.

• Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model.

• Implementation and promotion of Data Platform, transformative data processes, and services.

• Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use.

• Maintain and model JSON-based schemas and metadata to re-use it across the organization (with central tools).

• Resolving and troubleshooting data-related issues and queries.

• Covering all processes from enterprise reporting to data science (incl. ML Ops).

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate will have a minimum of 5 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.

SKILLS SET AND TRACK RECORD

• Good understanding and completion of projects using waterfall/Agile methodology.
• Analytical, conceptualisation and problem-solving skills.
• Good understanding of analytics and data warehouse implementations
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica
• Strong SQL and data analysis skills. Hands-on experience in data virtualisation tools like Denodo will be an added advantage
• Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is preferred
• Track record in implementing systems using Cloudera Data Platform will be an added advantage.
• Motivated and self-driven, with ability to learn new concepts and tools in a short period of time
• Passion for automation, standardization, and best practices
• Good presentation skills are preferred

The developer is responsible to:

• Analyse the Client data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Client technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues

Job Summary:

We are looking for an experienced Big Data Engineer with at least 5 years of experience in managing data pipelines and processing within Big Data environments (e.g. Cloudera Data Platform). The role involves designing, developing, and maintaining data ingestion and transformation jobs to support analytics and reporting needs.

Key Responsibilities:

• Design and develop data ingestion, processing, and integration pipelines using Python, PySpark, and Informatica.
• Analyse data requirements and build scalable data solutions.
• Support testing, deployment, and production operations.
• Collaborate with business and technical teams for smooth delivery.
• Drive automation, standardization, and performance optimization.

Requirements:

• Bachelor's degree in IT, Computer Science, or related field.
• Minimum 5 years' experience in Big Data Engineering.
• Hands-on skills in Python, PySpark, Linux, SQL, and ETL tools (Informatica preferred).
• Experience with Cloudera Data Platform is an advantage.
• Knowledge of data warehousing, Denodo, and reporting tools (SAP BO, Tableau) preferred.
• Strong analytical, problem-solving, and communication skills.

Job Summary:

We are looking for an experienced Big Data Engineer with at least 5 years of experience in managing data pipelines and processing within Big Data environments (e.g. Cloudera Data Platform). The role involves designing, developing, and maintaining data ingestion and transformation jobs to support analytics and reporting needs.

Key Responsibilities:

• Design and develop data ingestion, processing, and integration pipelines using Python, PySpark, and Informatica.
• Analyse data requirements and build scalable data solutions.
• Support testing, deployment, and production operations.
• Collaborate with business and technical teams for smooth delivery.
• Drive automation, standardization, and performance optimization.

Requirements:

• Bachelor's degree in IT, Computer Science, or related field.
• Minimum 5 years' experience in Big Data Engineering.
• Hands-on skills in Python, PySpark, Linux, SQL, and ETL tools (Informatica preferred).
• Experience with Cloudera Data Platform is an advantage.
• Knowledge of data warehousing, Denodo, and reporting tools (SAP BO, Tableau) preferred.
• Strong analytical, problem-solving, and communication skills.