Sr Data Engineer
EXL (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data pipelines and data warehouses on Azure Databricks, Azure Data Factory, and Snowflake.
- Migrate data from multiple sources to Databricks and implement data quality and governance frameworks.
- Support business intelligence and KPI reporting by collaborating with stakeholders and managing Agile delivery processes.
Minimum Requirements
- 10+ years of data engineering experience.
- Strong expertise in Azure Databricks, Azure Data Factory, Snowflake, Python, PySpark, SQL, data modeling, and ETL development.
- Experience with data governance and Agile methodologies.
- Work Experience Required: 10+ years.
Ideal Candidate Profile
- Experienced in managing end-to-end data engineering projects in cloud environments, especially Azure.
- Proficient in stakeholder management and Agile delivery processes, indicating ability to work cross-functionally.
- Strong technical background with hands-on skills in advanced data engineering tools and frameworks including Snowflake and Databricks.