Lead I - Data Engineering

About the role

We are looking for a skilled and experienced Senior Data Engineer to join our data engineering team. The ideal candidate will have strong expertise in SQL, Data Analytics, Azure Data Factory (ADF), NoSQL databases (MongoDB), and Data Lake technologies, with hands-on experience in designing, developing, and maintaining scalable data pipelines and data integration solutions on Azure.

What you'll do

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory
• Develop complex SQL queries, stored procedures, views, and performance optimization strategies for large datasets
• Build and maintain data integration workflows across multiple source systems, including relational and NoSQL databases
• Design and manage data ingestion, transformation, and storage processes in Azure Data Lake
• Support data analytics and reporting initiatives by ensuring data availability, accuracy, and consistency

What you need

• 6–11 years in data science & ai
• SQL
• Python
• Azure Data Factory
• ETL
• Data warehousing
• Data modelling
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Spark
• Azure
• SQL Server
• Power BI
• NoSQL
• MongoDB