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Lead Data Engineer- AWS

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Bachelor's Degree • Python • SQL • Data Vault • 10 months ago

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Salary

≈ $30k – $65k per year (Estimated)

Location

In office (Gurgaon)

Seniority

Staff · 9+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Dec 10, 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

Lead Data Engineer-AWS

Role: Lead Data Engineer Experience: 9-12 years

Location : Pune/Gurugram

Must-Have Skills:

9+ years of relevant experience in Data Engineering and project delivery.
Strong expertise in Big Data concepts and cloud implementation projects.
Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
Strong problem-solving abilities, analytical skills, and aptitude for ownership.
Skilled in Agile Methodology with experience in iterative project deliveries.
Quick learner with the ability to lead team members in adopting new technologies.
Exceptional communication and stakeholder management skills.

Good-to-Have Skills:

Familiarity with DevOps tools and practices (e.g., Jenkins, Git) and experience in CI/CD pipelines.
Knowledge of Spark, SQL (with Snowflake exposure), and advanced Big Data Concepts.
Experience with cloud migrations and development projects
Knowledge of US insurance and reinsurance domain
Knowledge of Data Vault 2.0

Role & Responsibilities:

Lead and oversee project delivery, ensuring timely completion with high quality.
Collaborate with clients and offshore leads to gather requirements and define high-level designs.
Direct development and unit testing activities while maintaining strong alignment with project goals.
Communicate effectively with stakeholders, providing regular updates on task and project statuses.
Identify, track, and address project risks or issues promptly.
Work closely with management to ensure seamless execution of tasks.
Provide technical guidance to the team, outlining design, implementation, and delivery strategies.

Education:

Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution.

Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution.

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