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Mid-level role, metro location, and broad skillset increase competition.
Role requires data-warehouse and deployment expertise, moderately limiting cross-industry applicability.
Explicit 4–8 year requirement plus mandatory CI/CD, SQL, Linux and monitoring skills increases screening rigidity.
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Manage and maintain deployment pipelines for enterprise data warehouse applications ensuring reliable releases and operational stability.
Monitor and troubleshoot production environments, conduct root cause analysis, and implement corrective actions to maintain high availability and performance.
Lead design and code reviews, partner with DevOps and Infrastructure teams to optimize CI/CD frameworks, and drive initiatives for system reliability and deployment efficiency.
4-8 years of 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 knowledge of data warehousing architectures and ETL processes to ensure performance and data integrity.
Proficiency in Linux environments with CLI and shell scripting, SQL, and CI/CD tools like Jenkins, GitLab CI, or Harness.
Experienced in designing and maintaining scalable, reliable deployment pipelines within large-scale data ecosystems.
Skilled in system-level troubleshooting and root cause analysis to resolve complex production issues under SLA constraints.
Familiarity with Site Reliability Engineering principles and monitoring tools like Prometheus and Grafana for runtime observability and operational excellence.