This hybrid role seeks a seasoned DevOps Engineer with six to ten years of experience to design automate and optimize data pipelines and cloud environments using Airflow Python and Snowflake. The role focuses on secure reliable delivery of data and applications that enable content and knowledge management solutions supporting day shift operations with no travel requirements.
Responsibilities
• Design and maintain robust CI and CD pipelines that automate deployment of Airflow workflows Python services and Snowflake objects to ensure consistent and reliable delivery across hybrid environments.
• Implement and optimize Airflow orchestration for complex data pipelines so that scheduled and event driven tasks run efficiently with clear observability logging and alerting for rapid incident response.
• Build and refine Python based tools and microservices that support data ingestion transformation and operational automation ensuring code quality modular design and maintainable repositories.
• Configure and administer Snowflake environments to manage warehouses databases and schemas with effective resource utilization and secure data access aligned to organizational governance policies.
• Develop infrastructure as code solutions that provision and update cloud and on premise resources in a repeatable manner improving environment consistency and reducing manual configuration effort.
• Monitor system health across orchestration compute storage and data layers using metrics and logs to proactively identify performance bottlenecks and capacity issues driving timely remediation actions.
• Collaborate with data engineering analytics and application teams to translate solution requirements into operational runbooks and deployment patterns that support content and knowledge management use cases.
• Apply secure configuration practices across pipelines secrets management and data platforms to reduce operational risk and safeguard sensitive information used in knowledge
📌 DevOps Engineer (Chennai)
🏢 Cognizant
📍 Chennai
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