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Tier-1 brand, mid-level generalist DevOps title, metro location, and broad toolset increase candidate competition.
GCP DevOps and ETL pipeline skills are easily transferable across industries.
Explicit 2–4 years plus mandatory GCP, BigQuery, SQL, Jenkins, Docker, and Airflow makes shortlisting strict.
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Ensure uninterrupted data availability by monitoring and managing daily scheduled jobs within GCP cloud.
Resolve L2/L3 incidents and troubleshoot ETL/ELT data pipelines to maintain service continuity and operational excellence.
Support deployment and execution of data pipelines using cloud services and data warehousing tools.
2 to 4 years hands-on experience with GCP cloud services including BigQuery, GCS, Compute instances, and Looker Studio.
Proficiency in SQL and UNIX for data troubleshooting and analysis.
Experience with ETL/ELT workflows and data ingestion issue resolution.
Familiarity with DevOps tools such as Jenkins, Docker, GitLab, CDAP, Airflow, and Agile tools like JIRA, Confluence, BMC Remedy.
Experienced working in a cloud environment focusing on data pipeline operations and monitoring, particularly within GCP.
Skilled in handling production-level incidents (L2/L3) with a problem-solving, proactive approach to maintain service reliability.
Comfortable working in Agile environments with cross-functional teams using modern DevOps and data warehousing tools.