Data Platform Engineer — Self‑Service ETL Orchestration
Summary
Data engineer on Zoolatech's Orchestration Team building and maintaining self-service data platforms so engineers, data scientists, and analysts can run ETL/ELT workflows across sources like Kafka, S3, GCS, BigQuery, and Postgres. Focus on Python, SQL, Airflow, and Terraform in a cloud-first environment, plus metadata governance and data lineage.
Zoolatech is seeking an experienced Data Engineer to join the Orchestration Team, developing and maintaining self‑service data platforms that empower engineers, data scientists, and analysts to run ETL/ELT workflows efficiently on diverse sources such as Kafka, S3, GCS, BigQuery, and Postgres.
You will contribute to metadata governance, data lineage, and scalable architectures while working across on‑site and offshore teams, with focus on Python, SQL, Airflow, and Terraform in a cloud‑first