Data Engineer

5 days ago

Singapore EXASOFT PTE. LTD. Full time

**Responsibilities
- Join the data migration project, including transitioning legacy systems to more modern

system
- Design, build, and maintain data pipelines to enable seamless data extraction,

transformation, and loading (ETL) while ensuring high data quality throughout the
process.
- Identify and resolve data quality issues by implementing governance measures and

proposing optimization techniques to improve data accuracy and integrity.
- Involve in the design and enhancement of data governance frameworks, ensuring proper

documentation, lineage tracking, and compliance with best practices.
- Develop and maintain scalable data systems, including data warehouses and data lakes,

leveraging big data technologies like S3, Spark, Redshift, and Snowflake.
- Design and develop both backend and frontend components for internal and businessfacing tools.
- Collaborate with cross-functional teams, including business stakeholders, to define and

implement data governance policies and support their data needs.
- Explore and propose new technologies and tools to improve data operations and

governance, especially within cloud environments.
- Contribute to the design and implementation of data architecture models that support the

organization’s long-term data strategy.
- Monitor data systems and pipelines, ensuring smooth operation, and troubleshooting

issues to maintain high data quality and system reliability.

**Requirements**:

- At least 3 years of experience in data engineering, with a focus on ETL processes, data

pipeline development, and system optimization.
- Strong understanding of data governance principles, including data quality management,

lineage tracking, and metadata management.
- Hands-on experience with cloud platforms and databases (AWS, Azure, Google Cloud) and

big data technologies (Hadoop, Spark, Redshift, Snowflake).
- Proficiency in Python and SQL for data processing and database design.
- Familiarity with data warehousing concepts and experience in designing and maintaining

data lakes and distributed databases.
- Experience working with Agile methodologies within cross-functional teams, with an

emphasis on data quality and governance.
- Understanding of containerization tools (e.g., Docker, Kubernetes) and microservices

architecture for managing pipelines.
- Strong numerical and analytical skills, with the ability to analyze complex data sources and

identify potential data governance issues.
- Proficiency in JavaScript ecosystem is a plus (e.g., ReactJS, NodeJS, VueJS

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