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EXL

Sr Data Engineer

EXL Gurugram, Haryana, India

Business Consulting and Services · 10,001+ employees

5 h ago
data-engineer Principal (10+ yrs) Full-time India
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About the role

Develop and maintain data pipelines, ETL processes, and data models while migrating data from multiple sources to Databricks. Collaborate with business stakeholders to support analytics, KPI reporting, and implement data quality and governance frameworks.

What they look for

Azure Databricks Azure Data Factory Snowflake Python PySpark SQL Data Modeling Data Warehousing ETL Development Data Governance Agile Methodologies Power BI Azure DevOps Git AWS

Requirements

Requires 10+ years of experience in building scalable data solutions using Azure Databricks, Data Factory, Python, PySpark, and Snowflake. Expertise in data modeling, data warehousing, and Agile methodologies is essential, with knowledge of Power BI and AWS preferred.

Full description

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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