Azure Lead Data Engineer
EXL (company site, opens in a new tab)8+ yrsGurugramHybridDirect career pageEst. 25–40 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
- Build and maintain data integration workflows from various sources to Snowflake with optimized SQL queries.
- Monitor, troubleshoot, and optimize data pipelines ensuring data quality, governance, and documentation standards.
Minimum Requirements
- 8+ years of experience in data engineering roles specifically using Azure and Snowflake.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- Strong proficiency with Azure Cloud Platform services, especially Azure Data Factory (ADF).
- Mandatory expertise in SQL for data extraction and transformation.
Ideal Candidate Profile
- Experienced with large-scale cloud-based data environments and capable of collaborating with data analysts, architects, and DevOps teams.
- Skilled in converting business requirements into scalable technical solutions with focus on pipeline performance and reliability.
- Proficient in maintaining data quality and governance within cloud-native infrastructure.