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Mid-level data engineering role in Bangalore with common GCP/Python skills attracts many qualified applicants.
Core GCP, Python, and data engineering skills are highly transferable across industries; domain knowledge is optional.
Explicit 4.5+ years and mandatory Terraform/CircleCI/GCP experience enforce strict shortlisting.
Design, build, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform using Composer (Airflow), Dataproc, and BigQuery.
Collaborate with cross-functional teams to define data architecture and data warehouse requirements while implementing data governance practices including quality, security, and compliance.
Develop production-quality Python and SQL code and implement CI/CD pipelines for data workflows using CircleCI, Terraform, and Github.
Minimum 4.5+ years of hands-on data engineering experience.
Advanced degree in Computer Science, Data Engineering, Data Analytics, or equivalent discipline.
Proficiency in Python, SQL, ETL processes, GCP services including BigQuery, Composer/Airflow, Dataproc, and experience with CircleCI, Terraform, and Github version control.
Work Experience Required: Minimum 4.5+ years as a hands-on data engineer.
Experienced in building and optimizing large-scale data warehouse solutions on GCP, specifically with BigQuery performance tuning and query optimization.
Skilled in infrastructure-as-code and automation for data pipeline deployment and management, indicating an operationally mature approach.
Exposure to News, Media & Communications domain is a plus for cultural and domain fit but not mandatory.