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Mid-level Data Engineer in Bangalore with broad GCP skills yields moderate competition.
Core data engineering skills are highly transferable across industries, so background sensitivity is low.
Explicit 5–8 years and mandatory GCP, dbt, and infrastructure skills create high shortlisting strictness.
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Build and support scalable data pipelines on GCP using BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Run.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Collaborate with product managers, analytics teams, and business stakeholders to deliver data products and ensure production support and troubleshooting.
5–8 years of Data Engineering experience.
Strong hands-on knowledge of Google Cloud Platform services especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Run.
Experience with CI/CD, Terraform, Git, Docker, Python, and SQL.
Notice period: Immediate to 15 days.
Experienced working in hybrid cloud environments with focus on GCP data services.
Practical knowledge of modern data ecosystem tools like dbt, Spark, Beam, Hive, Parquet, Avro, Iceberg, and Hudi.
Familiar with data concepts like Data Mesh, Data Products, Data Governance, Security, and Data Quality and able to balance technical and business stakeholder needs.