onsite
Senior Data Engineer Data Engineer III
Data Engineer
Senior Data Engineer responsible for building and maintaining scalable data pipelines using AWS Glue, Lambda, Athena, and Redshift, ensuring high data quality and performance for analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and optimize ETL workflows with AWS Glue and Lambda to ingest, transform, and load large datasets into Amazon Redshift.
- Leverage Amazon Athena for ad‑hoc querying and data exploration, ensuring efficient schema design and partitioning strategies.
- Collaborate with data scientists and analysts to understand data requirements and deliver reliable, high‑quality data assets.
- Implement monitoring, logging, and alerting for data pipelines to maintain data integrity and uptime.
- Document data models, pipeline logic, and best practices for future maintenance and onboarding.
Requirements
- 5+ years of experience in data engineering with a strong focus on AWS services.
- Proficient in SQL and experience with Redshift, Athena, and Glue.
- Hands‑on experience building serverless ETL pipelines using AWS Lambda.
- Strong problem‑solving skills and ability to optimize performance for large data volumes.
- Excellent communication skills and a collaborative mindset.