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Azure Databricks Developer

Infosys Limited

🟢 Active · Posted 2/7/2026  ·  👁 40 views  ·  👥 1 applied

✅ Verified
📍 LocationBangalore
💼 Job TypeFull-Time
⏱ Experience 2 - 5 Years
🎓 Qualification Bachelor of Engineering, BCom, BBA (Computer Science, Information Technology, or a related field)
💰 Salary Competitive
🛠 SkillsAzure Databricks, PySpark, Python, Data Engineering, ETL/ELT Pipeline Development, Big Data Processing, Data Lakehouse Architecture, Data Governance, Cloud Security Best Practices, Code Optimization, Team Mentoring

Job Description

Infosys Limited is seeking a highly skilled and result-driven Azure Databricks Developer to join our elite Data & Analytics Unit in Bangalore. This core data engineering role centers on developing high-performance data processing pipelines, leveraging distributed systems, and architecting modern data lakehouse solutions on the Microsoft Azure cloud platform.

Key Responsibilities & Scope of Work

  • Pipeline Architecture & Engineering: Design, build, and optimize scalable automated data pipelines (ETL/ELT) using the native capabilities of the Azure Databricks platform.
  • Distributed Data Processing: Implement and fine-tune complex cloud transformation and analytical tasks using PySpark and core Apache Spark frameworks.
  • Data Quality & Governance: Enforce strict data quality, validation, and metadata integrity checks across disparate relational and non-relational database sources.
  • Cloud Security Adherence: Apply enterprise data governance frameworks and cloud infrastructure security best practices to protect sensitive data assets.
  • Team Mentorship: Collaborate with cross-functional software architects and business analysts while providing proactive technical guidance and mentoring to junior data engineers.

Required Qualifications & Technical Stack

  • Professional Experience: 2 to 5 years of solid hands-on data engineering track record specifically focused on distributed cloud environments and big data management, with a minimum of 2 years dedicated to Databricks environments.
  • Core Technical Toolkit: Advanced technical proficiency in Python programming, PySpark scripting, and writing optimized SQL database queries.
  • Preferred Assets: An active Azure Databricks Certification and prior experience successfully delivering data engineering solutions within a technology consulting environment are highly preferred.
  • Core Soft Skills: Exceptional problem-solving capabilities, clear communication skills, and the proven ability to drive technical deliverables independently or as part of an agile scrum squad.
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