About the job
- Engineer and construct robust data pipelines utilizing AWS technologies including S3, Glue, PySpark, and EMR.
- Create and manage data processing scripts through Python and SQL.
- Enhance data storage and access efficiency using AWS database solutions such as RDS, Redshift, and DynamoDB.
- Establish diverse data warehousing structures tailored to distinct use cases.
- Apply your SQL proficiency and strong grasp of ETL processes and data modeling.
- Guarantee data accuracy and accessibility for clients, recognizing the implications of technical choices on business analytics and reporting.

