EY - GDS Consulting - AI And DATA - Data Engineer - Senior
Ernst & Young (EY) (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize production-grade scalable data pipelines using Azure Data Factory, Azure Databricks, Azure SQL, and Data Lake.
- Implement data quality validation, reconciliation, CI/CD pipelines, and monitor production data environments to ensure reliability and performance.
- Support advanced analytics, AI enablement using Python, Jupyter Notebooks, MLflow, and deliver analytics-ready datasets for Power BI and reporting platforms.
Minimum Requirements
- 5–8+ years of experience in data engineering or related roles.
- Strong proficiency with Azure Data Factory, Azure Databricks, Azure SQL, and Data Lake.
- Solid understanding and hands-on experience in data modelling using star and snowflake schemas.
- Work Experience Required: 5–8+ years; Location: Bengaluru (Primary Location Only)
Ideal Candidate Profile
- Experienced in building and managing scalable, production-grade data pipelines in cloud environments, especially Azure.
- Skilled in integrating data engineering with analytics and AI workflows, including Python and ML lifecycle tools (MLflow).
- Capable of maintaining secure data handling practices and optimizing data models for business intelligence platforms like Power BI.