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Tier-1 brand, generalist cloud/devops title, and Pune metro location increase applicant competition.
Cloud/devops skills transferable but Databricks/Azure specialization raises domain specificity.
Specific Databricks, Azure Data Factory, IAC and CI/CD requirements increase shortlisting rigor.
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Ensure stability, scalability, and performance of cloud-based batch data pipelines and data pipeline solutions.
Monitor, maintain, and optimize Databricks workloads and cloud infrastructure to improve efficiency and reduce costs.
Improve operational processes including incident handling, performance monitoring, and issue resolution for cloud data solutions.
Experience operating and maintaining cloud-based data pipelines and analytics solutions (exact years not specified).
Working knowledge of Databricks, Lakehouse architecture, Batch accounts, Infrastructure as Code (IAC), GitHub, IAM, and CI/CD pipelines.
Proficiency in command-line scripting (e.g., PowerShell) and experience with data pipeline orchestration tools such as Azure Data Factory.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Experienced with cloud environments focusing on data pipelines and analytics solutions with a technical emphasis on Azure ecosystem and Databricks.
Demonstrates a high level of ownership and drives operational excellence through continuous improvement and cost optimization.
Skilled in cross-functional and international team coordination with strong problem-solving and proactive incident management capabilities.