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Project Manager

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Bachelor's Degree • Python • SQL • ETL/ELT • Azure Data Factory • 9 days ago

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Salary

≈ $16k – $44k per year (Estimated)

Location

In office (Gurgaon)

Seniority

Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 12, 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

Build and operate the data pipelines that feed the Entity Hub. This role lands all six in-scope sources into Fabric, implements standardization and transformation logic, and maintains the data quality checks and monitoring that the entity resolution engine depends on. Reliable, observable ingestion is the foundation the entire programme rests on.

Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
Create the data integration and data diagram documentation.
Lead the data validation, UAT and regression test for new data asset creation.
Create and maintain data models, including schema design and optimization.
Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.

Strong knowledge on Python and Pyspark
- Expectation is to have ability to write Pyspark scripts for developing data workflows.
Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
- Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
- Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
- Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
- Expectation is to have strong problem-solving and troubleshooting skills.
- Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
5-7 years of experience in Data Engineer.
Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.