Sr Data Engineer

Posted Yesterday
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Designs, develops, and optimizes scalable Azure data pipelines, ETL processes, data models, warehouses, and analytics solutions. Migrates data to Databricks, implements data quality and governance frameworks, improves performance, supports business intelligence and KPI reporting, collaborates with stakeholders, and manages Agile delivery processes.
Summary Generated by Built In
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

Skills Required

  • 10+ years of experience in data engineering
  • Expertise in Azure Databricks
  • Experience with Azure Data Factory
  • Experience with Python
  • Experience with PySpark
  • Experience with SQL
  • Data modeling experience
  • Data warehousing experience
  • ETL development experience
  • Experience with Snowflake
  • Experience with data governance
  • Experience with Agile methodologies
  • Stakeholder management experience
  • Strong communication skills
  • Knowledge of Power BI
  • Knowledge of Azure DevOps
  • Knowledge of Git
  • Knowledge of AWS
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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