Key Responsibilities:

- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
- Build and maintain data integration workflows from various data sources to Snowflake.
- Write efficient and optimized SQL queries for data extraction and transformation.
- Work with stakeholders to understand business requirements and translate them into technical solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Maintain and enforce data quality, governance, and documentation standards.
- Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills:

• 7+ years of experience in data engineering roles using Azure and Snowflake, DBT.





• Strong experience with Azure Cloud Platform services. • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.

• Proficiency in SQL for data analysis and transformation.

• Hands-on experience with Snowflake and SnowSQL for data warehousing.

• Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.

• Experience working in cloud-based data environments with large-scale datasets.

• Solid problem-solving, communication, and collaboration skills.

📌 Azure Lead Data Engineer (Pune)
🏢 EXL
📍 Pune