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Lead Assistant Manager-Data Engineering-Cloud Data Engineering

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Python • SQL • ETL/ELT • 12 months ago
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Salary
≈ $21k – $60k per year (Estimated)
Location
In office (Chennai)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 23, 2025. 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
  • The ideal candidate will have strong expertise in Snowflake, Hadoop ecosystem, PySpark, and SQL, and will play a key role in enabling data-driven decision-making across the organization.
  • Design, develop, and optimize robust data pipelines using PySpark and SQL.
  • Implement and manage data warehousing solutions using Snowflake.
  • Work with large-scale data processing frameworks within the Hadoop ecosystem.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, and governance across all data platforms.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Automate data workflows and implement best practices for data engineering.
  • 5+ years of experience in data engineering or related roles.
  • Strong hands-on experience with Snowflake including data modeling, performance tuning, and security.
  • Knowledge in PySpark for distributed data processing.
  • Solid understanding of Hadoop ecosystem (HDFS, Hive, Spark, etc.).
  • Advanced SQL skills for data manipulation and analysis.
  • Experience with ETL tools and orchestration frameworks (e.g., Airflow, DBT).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
  • Excellent problem-solving and communication skills.
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