Data Engineering Lead

EXL

Lead a cross-functional team to deliver data platforms and web solutions. Oversee technical execution while collaborating with business stakeholders and onshore architects.

Posted 5/22/2026full-time🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSDockerETLKubernetesMicroservicesPySparkPythonSQL

About the role

Key responsibilities & impact

Manage a cross‑functional team of 7–9 engineers
Work closely with onshore Solution Architects
Act as the primary bridge between business stakeholders and technical execution
Own end‑to‑end delivery of data engineering and data‑driven web solutions
Design, build, and maintain scalable, reliable data pipelines and data architectures
Provide hands‑on technical guidance and architectural oversight when required
Ensure performance, data quality, reliability, and scalability of data systems
Drive best practices in coding, testing, documentation, deployment, and monitoring
Lead, mentor, and manage a team of 7–9 engineers including Data Engineers, DevOps Engineers, and Full‑Stack Developers
Conduct task planning, sprint execution, reviews, and performance feedback
Ensure efficient collaboration across engineering roles
Work closely with business stakeholders to translate requirements into technical solutions
Coordinate with Onshore Solution Architects for solution design, alignment, and delivery

Requirements

What you’ll need

Bachelor's/Master's in Engineering 5-8 years
Strong hands‑on coding experience in Python and SQL
Solid experience designing and building data pipelines and data platforms
Proficiency in Teradata SQL with strong query optimization skills
Hands‑on experience with PySpark for large‑scale data processing
Strong understanding of ETL / ELT concepts and data warehousing principles
Experience with AWS, including services such as: S3, EMR, Glue, Lambda, Redshift
Familiarity with DevOps practices and CI/CD tooling
Knowledge of Docker and Kubernetes for containerization and orchestration
Experience is supporting and delivering data‑driven web applications
Exposure to modern data architecture patterns (lakehouse, microservices, event‑driven systems)
Experience working in global delivery models with onshore/offshore coordination
Experience delivering enterprise‑scale data platforms or analytics solutions
Prior exposure to projects involving: large datasets, performance optimization, multi‑stakeholder delivery environments
Comfortable managing delivery in fast‑paced, client‑facing engagements

Benefits

Comp & perks

Flexible working arrangements

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLTeradata SQLPySparkETLELTdata warehousingdata pipelinesdata platformsdata architecture

Soft Skills

leadershipmentoringcollaborationcommunicationtask planningperformance feedbackproblem-solvingstakeholder managementtechnical guidancecross-functional team management

Certifications

Bachelor's in EngineeringMaster's in Engineering