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Mid-level role, Bangalore metro, known brand, generalist Data Engineer skills; competition is high.
GCP-specific tooling raises industry bias, but core data engineering skills remain transferable.
Explicit 2–4 years and mandatory GCP, BigQuery, PySpark, Terraform skills make filters highly strict.
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Develop, deploy, and maintain scalable ETL/ELT data pipelines in GCP using Cloud Composer and PySpark following established architectural patterns.
Optimize BigQuery performance using Partitioning, Clustering, and Materialized Views to manage cost and improve query efficiency.
Implement and manage data integration with BigLake for unified governance and utilize DevOps tools like Terraform and CircleCI for infrastructure and code deployment.
2-4 years of hands-on Data Engineering experience.
Proficiency in Google Cloud Platform services: BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud Functions, and Dataproc.
Strong coding skills in Python and SQL, with modular and maintainable code practices.
Experience with CI/CD tools and Infrastructure-as-Code (Terraform, CircleCI) for automation.
Experienced in architecting and optimizing data warehouse solutions within BigQuery and unified lakehouse architectures.
Comfortable working in a mid-level role with cross-functional teams to translate business requirements into technical solutions.
Prior experience or domain knowledge in the News or Media industry is a strong advantage.