Sr Data Engineer
This senior data engineer role at EXL in Gurugram focuses on designing scalable Azure-based data pipelines and warehouses, with a strong emphasis on PySpark, Snowflake, and ETL optimization to support business intelligence and reporting. The candidate will collaborate closely with stakeholders to implement data governance frameworks while ensuring high-performance, Agile-driven delivery.
Skills required
About this role
Senior Azure Data Engineer with 10+ years of experience in building scalable data solutions using Azure Databricks, Azure Data Factory, Snowflake, Python, PySpark, and SQL. Responsible for designing, developing, and optimizing data pipelines, data warehouses, and analytics solutions to support business intelligence and reporting needs.
Responsibilities
Develop and maintain data pipelines, ETL processes, and data models; migrate data from multiple sources to Databricks; implement data quality and governance frameworks; optimize performance; collaborate with business stakeholders; support analytics and KPI reporting; and manage Agile delivery processes.
Qualifications
Data Engineering experience with expertise in Azure Databricks, Data Factory, Python, PySpark, SQL, data modeling, data warehousing, ETL development, and Snowflake. Experience with data governance, Agile methodologies, stakeholder management, and strong communication skills. Knowledge of Power BI, Azure DevOps, Git, and AWS is preferred
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