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Bengaluru mid-level Data Engineer role with common GCP/BigQuery skills and broad hiring appeal.
Core data engineering skills (GCP, BigQuery, PySpark, ETL) are broadly transferable across industries despite media preference.
Explicit 6+ years plus mandatory GCP, BigQuery, PySpark, Terraform, and CI/CD requirements make shortlisting strict.
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Design and architect scalable, high-performance ETL/ELT pipelines in GCP using Cloud Composer and PySpark on Dataproc.
Lead optimization of BigQuery performance and cost through partitioning, clustering, materialized views, and slot management.
Drive automation and infrastructure deployment using Terraform and CircleCI, implement self-healing pipelines, and mentor mid-level engineers on best practices.
4-6+ years of hands-on Data Engineering experience (Senior Level).
Expertise in GCP services including BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud Functions, and Dataproc.
Strong Python and SQL coding skills with modular, testable code writing experience.
Experience with CI/CD tools and Infrastructure-as-Code (Terraform) required.
Proven capability as a technical lead focused on architecture, optimization, and automation in GCP data environments.
Experienced in designing data models like Star Schema and Snowflake and working with data warehousing and lakehouse governance.
Preferred background includes News or Media industry domain experience and ability to collaborate with business stakeholders to solve complex problems.