We are looking for a skilled Data Engineer with hands-on experience in GCP, PySpark, and Scala to develop and optimize scalable batch ETL pipelines.
Key Skills
Solid experience in Scala, PySpark, GCP, BigQuery, Dataproc, and Apache Airflow
Experience in developing, deploying, monitoring, and optimizing batch ETL workflows
Good understanding of Medallion Architecture with data quality checks and data summarization
Expertise in performance optimization, observability, and runbook creation
Strong knowledge of Airflow orchestration, dependency handling, and idempotent execution
Exposure to Data Governance is an added advantage
Responsibilities
Design, develop, and maintain scalable ETL pipelines on GCP
Build and optimize data processing workflows using PySpark and Scala
Ensure data quality, performance, and reliability across data pipelines
Collaborate with cross-functional teams to deliver efficient data solutions
Skills: pyspark,pipelines,gcp,scala,etl
📌 Data Engineer (Pune)
🏢 Zorba AI
📍 Pune
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