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

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 ).

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