Autonomous Data Platform Engineer

1 week ago

Singapore REGTECH INSIGHT PTE. LTD. Full time

Design, develop, and maintain data pipelines and ETL processes using AWS Glue, Lambda, Redshift, EMR, and Kinesis.
- Build and optimize large-scale data processing systems on AWS.
- Work with data stored in Amazon S3, processed through Glue/EMR, and consumed via Redshift, Athena, or visualization tools.
- Write efficient, reusable, and testable code in Python and SQL for data engineering workflows.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data products.
- Debug and optimize existing data workflows and infrastructure for performance and cost-efficiency.
- Ensure data quality, integrity, and governance throughout the data lifecycle.
- Support real-time and batch processing needs using Amazon Kinesis and related services.
- Lead technical discussions, mentor junior engineers, and contribute to architectural decisions.

**Requirements**:

- Minimum of 5 years of experience in data engineering, data management, or data visualization.
- Proficiency in Python and SQL, with experience building scalable ETL pipelines.
- Strong hands-on experience with AWS services, especially:

- Amazon S3, AWS Glue, Amazon Redshift
- AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena
- Solid understanding of data warehousing (DWH) principles and relational databases.
- Experience with data pipeline orchestration, monitoring, and debugging.

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