Azure Data Engineer
EXL (company site, opens in a new tab)8+ yrsNoidaOn-siteDirect career pageEst. 20–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
- Build and maintain data integration workflows and write optimized SQL queries to support business data requirements.
- Monitor and ensure performance, reliability, data quality, governance, and documentation of data pipelines and workflows.
Minimum Requirements
- 8+ years of experience in data engineering roles using Azure and Snowflake.
- Strong experience with Azure Cloud Platform services, including Azure Data Factory for data pipeline orchestration.
- Proficiency in SQL and hands-on experience with Snowflake, SnowSQL, and DBT for data warehousing and transformations.
- Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
Ideal Candidate Profile
- Experienced with cloud-native, large-scale data environments and collaborating with cross-functional teams like data analysts, architects, and DevOps.
- Capable of translating stakeholder business requirements into technical data solutions and maintaining data governance standards.
- Comfortable working in hybrid work mode in Gurugram and handling end-to-end data pipeline lifecycle including monitoring and troubleshooting.