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Popular mid-level data role in Bengaluru with 3–6 year demand and broad skill requirements, high competition.
Core GCP BigQuery, Python, and ETL skills are broadly transferable across industries despite media domain preference.
Mandatory 4.5+ years plus required GCP BigQuery, Terraform, and CI/CD skills impose high shortlisting strictness.
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Design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform using Cloud Composer (Airflow), Dataproc, and BigQuery.
Collaborate with cross-functional teams to define data architecture and data warehouse requirements.
Automate data pipelines and integration workflows using infrastructure-as-code tools like Terraform and implement CI/CD pipelines with CircleCI and Github.
Minimum 4.5+ years of hands-on data engineering experience.
Advanced degree in Computer Science, Data Engineering, Data Analytics, or equivalent.
Strong programming skills in Python, SQL, and ETL processes with expertise in querying and optimizing large datasets on BigQuery.
Prior experience with CircleCI CI/CD, Terraform, and Github version control.
Experienced with Google Cloud Platform data services including BigQuery, Dataproc, and Cloud Composer.
Skilled in implementing data governance including quality, security, and compliance standards.
Familiarity with infrastructure-as-code and automation to enhance pipeline scalability and reliability.