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Azure Lead Data Engineer

EXL • Bachelor's Degree • Python • SQL • Power BI • ETL/ELT • DataStage • Azure Data Factory • 6 days ago
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Salary
≈ $27k – $48k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 28, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com • HQ: New York, United States • 5000+ employees • Est. 1999
Tech stack of EXL

Key Responsibilities:

  • Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
  • Build and maintain data integration workflows from various data sources to Snowflake.
  • Write efficient and optimized SQL queries for data extraction and transformation.
  • Work with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Maintain and enforce data quality, governance, and documentation standards.
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills:

  • Strong experience with Azure Cloud Platform services.
  • Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.
  • Proficiency in SQL for data analysis and transformation.
  • Hands-on experience with Snowflake and SnowSQL for data warehousing.
  • Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.
  • Experience working in cloud-based data environments with large-scale datasets.

Good-to-Have Skills:

  • Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.
  • Familiarity with Python or PySpark for custom data transformations.
  • Understanding of CI/CD pipelines and DevOps for data workflows.
  • Exposure to data governance, metadata management, or data catalog tools.
  • Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 8+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.

Key Responsibilities:

  • Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
  • Build and maintain data integration workflows from various data sources to Snowflake.
  • Write efficient and optimized SQL queries for data extraction and transformation.
  • Work with stakeholders to understand business requirements and translate them into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Maintain and enforce data quality, governance, and documentation standards.
  • Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 8+ years of experience in data engineering roles using Azure and Snowflake.
  • Strong problem-solving, communication, and collaboration skills.
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