AI Engineer 4A
Genpact (company site, opens in a new tab)2+ yrsBengaluruHybridDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain ETL/ELT data pipelines and support data solutions for reporting, analytics, and AI use cases using Databricks and cloud platforms.
- Ensure data quality, operational stability, and efficient delivery by performing data validation, monitoring, troubleshooting, and supporting production data environments.
- Collaborate with business analysts and application teams to clarify requirements and deliver fit-for-purpose data engineering solutions, and contribute to documentation and best practices.
Minimum Requirements
- Minimum 2+ years hands-on experience in data engineering or data platform development.
- Proficiency in data pipeline development, ETL/ELT processes, and data transformations using Databricks, Python, and SQL.
- Experience with cloud platforms such as Azure and/or AWS for data engineering solutions.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Ideal Candidate Profile
- Experienced individual contributor comfortable working on complex data ingestion, transformation, and pipeline support roles within AI-focused projects.
- Skilled in leveraging Databricks and cloud-based data platforms for advanced analytics and AI use cases.
- Able to maintain data quality and operational stability while collaborating effectively with cross-functional business and technical teams.