Experience: 04- 08 years.

Location: Bangalore

Key Responsibilities

Data Engineering
Design and build production-grade data pipelines using Azure Data Factory and Azure Databricks.
Develop scalable data architectures leveraging Azure SQL, Data Lake, and modern data modelling techniques (star/snowflake schemas).
Implement data quality validation, reconciliation processes, and resolve operational issues.

Analytics & AI Enablement
Use Python for data processing, transformation, and analytics.
Develop and maintain Jupyter Notebooks for exploration and experimentation.
Utilize MLflow for experiment tracking and model lifecycle management.

BI Enablement
Deliver curated, analytics-ready datasets for Power BI and other reporting platforms.
Optimize data models and structures for effective reporting, dashboarding, and analytics consumption.

Engineering Practices
Implement CI/CD pipelines for data engineering workflows.
Ensure secure data handling practices,



including sensitive data protection.
Monitor, troubleshoot, and resolve pipeline failures and performance issues.

Required Skills & Qualifications

Robust expertise in
Azure Data Factory
Azure Databricks
Azure SQL and Data Lake
Solid understanding of data modelling (star and snowflake schemas).
Experience building scalable and reliable data pipelines.
Core Competencies
Robust problem-solving and analytical skills.
Ability to manage production-grade data environments.
Focus on data quality, scalability, and performance optimization.
Nice to Have
Experience working in regulated data environments.
Exposure to Azure OpenAI or AI/ML use cases.
Knowledge of prompt engineering, evaluation frameworks, and experimentation techniques.

📌 Ai & Data Senior Bengaluru (India)
🏢 EY
📍 India