Why This Role Stands Out
This hybrid role offers exciting opportunities to build scalable data pipelines on AWS, honing your skills in Python, PySpark, and cloud data services. You'll thrive here if you're a mid-senior engineer passionate about data engineering and eager to contribute to innovative analytics solutions within a collaborative team environment. Apply now to join Zensys and drive impactful data initiatives!
Quick Overview
Job Description
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.
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