AWS Data Engineer
pal
Job Description
- Develop and maintain data pipelines using PySpark and AWS Glue.
- Build serverless data processing solutions using AWS Lambda.
- Design and optimize data storage and analytics solutions on S3, Athena, Redshift, and DynamoDB.
- Implement ETL/ELT processes for data ingestion and transformation.
- Ensure data quality, performance, and reliability across data platforms.
- Collaborate with cross-functional teams to understand and deliver business requirements.
- Monitor, troubleshoot, and support production data workflows.