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EXL

Lead Data Engineer – AWS

EXL

Lead Data Engineer at EXL responsible for project delivery and team collaboration. Focused on Data Engineering using AWS and Big Data technologies.

Posted 6/10/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudMicroservicesPySparkPythonSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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, 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.

Benefits

Comp & perks
  • EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process.
  • Authorized to collect any fee or payment from prospective candidates only after formal interview process.

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Hard Skills & Tools
Data EngineeringBig DataSnowflakeSQLAWS GlueAWS EMRAWS S3AWS AuroraAWS RDSPython
Soft Skills
project deliveryproblem-solvinganalytical skillsownershipcommunicationstakeholder managementleadershipcollaborationadaptabilityguidance