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Azure Data Engineer

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Python • SQL • ETL/ELT • Azure Data Factory • Dimensional Modeling • 6 months ago
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Salary
≈ $15k – $40k per year (Estimated)
Location
Hybrid (Pune, India)

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Apr 8, 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 • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999
Tech stack of EXL

Key Responsibilities

  • Design, build, and maintain data pipelines using Azure services
  • Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools)
  • Implement ETL/ELT processes for ingesting and transforming data from multiple sources
  • Design and manage data models to support reporting and analytics
  • Work with structured and unstructured datasets in a data lake environment
  • Ensure data quality, integrity, and consistency across pipelines
  • Optimize performance of queries, pipelines, and storage
  • Collaborate with data analysts, data scientists, and business stakeholders
  • Support deployment, testing, and monitoring of data solutions
  • Maintain documentation for data processes and architectures

Required Skills & Experience

  • Strong hands-on experience with Microsoft Azure data services
  • Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)
  • Proficiency in SQL and Python
  • Experience with data warehousing concepts and dimensional modeling
  • Experience with ETL/ELT design and implementation
  • Familiarity with Azure Data Lake Storage (ADLS)
  • Understanding of distributed data processing (e.g., Spark)
  • Experience with version control and CI/CD practices (Azure DevOps preferred)

Soft Skills

  • Strong analytical and problem-solving abilities
  • Good communication and stakeholder interaction skills
  • Ability to work independently and within a team
  • Attention to detail and focus on quality

Preferred Qualifications

  • 6+ years of experience in Data Engineering.
  • Experience with Delta Lake or similar technologies
  • Exposure to Azure Data Factory
  • Knowledge of performance tuning and query optimization
  • Understanding of data governance and security best practices in Azure
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