Cloud-Driven Backend Engineer | AWS Data & Analytics
Summary
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow MWAA, and Redshift to power analytics and data warehousing.
Zensys is seeking a data engineering professional to design and implement scalable data pipelines in the AWS cloud. The role involves building batch and streaming ETL using Python, PySpark, Airflow MWAA, and AWS data services to support analytics and data warehousing on Redshift.
You will also ensure secure data access via Secrets Manager and KMS, manage data lakes on S3, and collaborate with cross-functional teams to deliver reliable data solutions.