Databricks Lead Engineer
Infosys · Chicago
Job description
About the role
Infosys' Data and Analytics (DNA) unit is seeking a Databricks Lead Engineer to drive data‑centric solutions for clients across the United States. The role focuses on designing, building, and maintaining scalable data pipelines and AI‑enabled analytics platforms.
Key responsibilities
- Document and refine business requirements in collaboration with stakeholders.
- Lead design discussions for software applications and capture architectural decisions.
- Develop new features and enhance existing solutions while ensuring system stability.
- Perform code reviews, manage code repositories, and maintain high‑quality code standards.
- Define and execute test strategies, analyze outcomes, and coordinate bug fixes.
- Create user training materials, documentation, and support frameworks for smooth adoption.
- Diagnose production issues, propose preventive measures, and improve reliability.
- Maintain comprehensive records of code changes, testing procedures, and support activities.
Required profile
- Proven experience in data engineering and big‑data processing.
- Strong background in building solutions on Databricks and using PySpark.
- Familiarity with AI/ML concepts and their application in analytics.
- Ability to translate business needs into technical designs.
Required skills
- Databricks
- PySpark
- Artificial Intelligence
- Data Engineering
What we offer
- Opportunity to work with cutting‑edge data and AI technologies.
- Collaboration with industry experts on transformative projects.
- Continuous learning environment and career growth support.
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Published 1 month ago
Expires 1 day from now
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Infosys
Chicago