Azure Databricks, Genie

Infosys
Pune Division, Maharashtra, India
  • Primary skills: Azure Databricks, Genie

Key Responsibilities: Solution Delivery & Leadership

  • Lead end-to-end implementation of data engineering solutions on Azure Databricks, ensuring scalability, reliability, and maintainability.
  • Drive technical design discussions and translate business requirements into well-structured Databricks/Genie-based solutions.
  • Provide technical guidance, code reviews, and mentorship to ensure consistent engineering standards across the team. Databricks & Genie Development
  • Build and optimize notebooks, jobs, and workflows leveraging Azure Databricks and Genie capabilities.
  • Develop reusable components and patterns to accelerate delivery across multiple use cases.
  • Troubleshoot production issues, perform root-cause analysis, and implement preventive improvements. Performance, Quality & Operations
  • Optimize cluster configurations, job performance, and resource usage to balance speed and cost.
  • Establish monitoring and operational practices for pipeline health, failures, and SLAs.
  • Ensure data quality checks and validation steps are embedded into pipelines and workflows. Minimum Qualifications:
  • 5–8 years of overall experience in data engineering / analytics engineering roles with ownership of production-grade delivery.
  • Strong hands-on experience with Azure Databricks and Genie for building and managing data workflows.
  • Solid experience with Databricks development and operationalization (jobs, workflows, notebooks).
  • Ability to lead technical discussions, perform reviews, and guide implementation best practices.
  • Education: BTECH, MTECH, MCA, MSC. Preferred Qualifications:
  • Experience designing scalable data processing patterns and reusable frameworks within Databricks environments.
  • Proven track record of performance tuning and cost optimization for Databricks workloads in enterprise settings.
  • Experience establishing engineering standards (branching, reviews, release practices) and mentoring team members.
  • Strong stakeholder management skills with the ability to align technical delivery to business outcomes.
  • Exposure to production support models, incident handling, and continuous improvement for data platforms.

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This is based in Pune Division, Maharashtra.

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