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Tier-1 brand, metro location, and a mid-level generalist data engineer role drive high competition.
Core ETL, SQL, pipeline and cloud data skills are highly transferable across industries.
Mandatory 3+ years and specific GCP/ETL tool expertise create moderate shortlisting strictness.
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Design, develop, and maintain ETL/ELT data pipelines and workflows primarily on Google Cloud Platform (GCP).
Migrate legacy ETL systems (e.g., DataStage/JCL) to GCP-native services like BigQuery, Dataflow, Pub/Sub, and Airflow.
Ensure high-performance, reliable data solutions through performance tuning, debugging, and monitoring using Cloud Logging and Monitoring.
3+ years experience in Data Engineering or ETL development.
Hands-on experience with GCP or other cloud platforms, with preference for GCP.
Strong skills in SQL and programming languages Python or Java.
Bachelor's degree in Computer Science, IT, or related field.
Proven track record in building and optimizing data pipelines and data warehousing on cloud platforms, specifically GCP.
Experience migrating and modernizing legacy ETL workflows using tools like DataStage towards cloud-native services.
Familiarity with workflow scheduling (Airflow), cloud monitoring, and ability to integrate data from diverse sources (Oracle, Teradata, DB2, files).