Data Engineer | AWS

About the Company

I am currently partnering with an established technology company. They focus on building scalable data infrastructure and web-based tools to support complex, growing business needs.

About the Job

• Design, build, and maintain robust ETL/ELT data pipelines and efficient ingestion frameworks across diverse data sources.

• Implement Change Data Capture (CDC), smart partitioning, and incremental loads; implement CI/CD automation for pipeline monitoring and version control.

• Architect modern data warehouses and data lakes, designing scalable dimensional models (star and snowflake schemas) and managing data mart evolution.

• Establish automated data validation frameworks, lineage tracking, and alerting systems to ensure high data integrity and data protection compliance.

• Continuously optimize cloud storage and compute resource utilization while ensuring system reliability, high availability, and disaster recovery.

Skills and Requirements

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin.
  
• Minimum 3 years of hands-on experience in Data Engineering or Big Data development.
• Bachelor's degree or higher in Computer Science, Business Analytics, Mathematics, or a closely related discipline.

• Expert proficiency in Python and SQL.

• AWS: Proven experience with Glue, Redshift, S3, Athena, Lambda, EMR, and Step Functions.

• Databases: Skilled in both Relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB).

To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)