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Mid-level metro data engineer role with broad GCP/ETL skills increases candidate competition.
Data engineering skills are transferable but require specific ETL and GCP tool experience.
Explicit 3+ years plus mandatory GCP/ETL and SQL/Python requirements make shortlisting stringent.
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Design, develop, and maintain ETL/ELT data pipelines and workflows using GCP-native services like BigQuery, Dataflow, Pub/Sub, and Airflow.
Support migration of legacy ETL systems (e.g., DataStage/JCL) to modern GCP-based solutions ensuring performance tuning and pipeline reliability.
Collaborate with cross-functional teams to gather requirements, monitor production pipelines, and contribute to testing and deployment activities.
3+ years of experience in Data Engineering or ETL development.
Hands-on experience with GCP or any cloud platform, with preference for GCP.
Strong skills in data pipeline development, data warehousing, SQL, and programming with Python or Java.
Bachelor's degree in Computer Science, IT, or a related discipline.
Experienced in migrating legacy ETL systems to cloud-native GCP environments with a focus on high-performance and reliability.
Proficient in managing end-to-end data pipelines using BigQuery, Dataflow, Airflow, and integrating diverse data sources like Oracle, Teradata, and flat files.
Comfortable working in cross-functional teams to handle complex dependencies and production support, demonstrating ownership over data engineering solutions.