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Mid-level generalist role in a metro with moderate brand and broad skills, so medium competition.
Requires data-warehouse and ETL domain knowledge plus DevOps skills, so background fit sensitivity is medium.
Explicit 4-8 years requirement plus mandatory CI/CD, SQL, ETL and monitoring skills increases shortlisting strictness to high.
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Manage and maintain deployment pipelines and runtime environments for enterprise data warehouse applications to ensure reliability, performance, and operational stability.
Lead troubleshooting and root cause analysis for production issues, implementing corrective actions to prevent recurrence and support incident management meeting SLAs.
Partner with DevOps and Infrastructure teams to design and optimize CI/CD frameworks, establish QA standards for ETL/data pipelines, and drive initiatives improving system reliability and deployment efficiency.
4-8 years experience in software development, data engineering, or DevOps roles with independent leadership of deployment and production support functions.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Strong proficiency in Linux environments, shell scripting (e.g., Bash), SQL, and CI/CD tools (e.g., Jenkins, GitLab CI, Harness).
Deep familiarity with data warehousing architectures and ETL processes, including performance and data integrity at scale.
Experienced in managing high-scale data warehouse deployments and ensuring operational excellence in complex data ecosystems.
Proficient in advanced CI/CD and release engineering practices with strong system-level troubleshooting and root cause analysis skills.
Comfortable working in hybrid environments and collaborating cross-functionally with DevOps, Infrastructure, and analytics teams to meet tight deployment deadlines.