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We are seeking a talented and motivated GCP Devops Engineer to join the portal team, supporting data ingestion pipelines and operational stability across cloud environments. This role focuses on monitoring, troubleshooting, and resolving data flow issues using GCP, SQL, and UNIX while ensuring high service availability and adherence to SLAs.
Job Responsibility
Monitor the quality and performance of scheduled data jobs, ensuring timely execution and issue resolution
Perform manual job runs where necessary to maintain data availability and consistency
Provide fixes and solutions for L2/L3 incidents and service requests within agreed SLAs
Troubleshoot and resolve ETL/ELT pipeline issues impacting data ingestion and processing
Work with GCP services such as BigQuery, GCS, Compute instances, and Looker Studio
Collaborate with cross-functional teams to enhance data pipeline reliability and performance
Support deployments and operations of data pipelines using tools such as Airflow, CDAP, Composer, CDF, and Cloud Run
Requirements
Foundational knowledge of GCP Cloud technologies
Experienced in working with tools such as BigQuery, GCS, and cloud-based analytics platforms
Skilled in SQL and UNIX
Familiar with DevOps tools including Jenkins, Docker, and GitLab
Knowledgeable in Agile delivery methodologies
Familiarity with SAFe is advantageous
Comfortable working with Agile tools such as JIRA, BMC Remedy, and Confluence
A proactive problem-solver with a strong interest in investigating and resolving complex challenges
Experienced in data analysis and performance monitoring
What we offer
Opportunity to work on modern cloud technologies and large-scale data platforms
Exposure to enterprise-grade data pipelines and operational practices
Collaborative environment supporting learning, innovation, and continuous improvement
Experience working within Agile delivery frameworks and global teams