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Azure Databricks, Genie

Date Posted: Sep 19, 2026

Job Detail

  • location_on
    Location Pune, Maharashtra, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Nov 14, 2026

Job Description

Join a high-impact data engineering team where you’ll lead the design and delivery of modern analytics solutions using Azure Databricks and Genie. In this role, you’ll collaborate closely with data engineers, platform teams, and business stakeholders to turn raw data into reliable, scalable, and actionable insights. You’ll be trusted to drive technical decisions, guide implementation standards, and mentor team members—while keeping performance, cost, and governance at the center of every solution. If you enjoy solving complex data challenges, building robust pipelines, and shaping best practices that help teams move faster with confidence, this opportunity offers the right mix of ownership, collaboration, and growth.

Responsibilities

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.

Technical requirements

  • Primary skills: Azure Databricks, Genie

Additional responsibilities

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.

Preferred skills

  • Technology › Data Engineering › Databricks

About the role

  • Role: Technology Lead
  • Experience: 5 - 8 years
  • Education: MCA, MTech, Bachelor of Engineering, BTech

Source: Infosys careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Infosys
Infosys · Bengaluru, Karnataka, India
1,811 open roles

Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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