Lead Data Engineer – AWS

EXL

Lead AWS data engineering delivery at EXL, a data analytics and digital operations company. Guiding cloud development, technical design, testing, and stakeholder execution.

Posted 8/10/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Engineering, project delivery, and cloud implementation, with a strong focus on Big Data concepts and AWS services. Proven ability to lead teams, manage stakeholder communications, and ensure high-quality project outcomes.

Highest-signal resume keywords

Data EngineeringBig Data ConceptsAWS ServicesAgile MethodologyStakeholder Management

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

SnowflakeSQLPythonPySparkAWS GlueAWS EMRAWS S3AWS AuroraAWS RDSData Vault 2.0

Soft Skills

Problem-SolvingAnalytical SkillsCommunicationTeam LeadershipOwnership

Tools & Technologies

JenkinsGitCI/CD Pipelines

Industry Keywords

US InsuranceReinsuranceCloud Migrations

Tech Stack

Tools & technologies

AWSCloudJenkinsMicroservicesPySparkPythonSparkSQLVault

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, and AWS services including Glue, EMR, S3, Aurora, RDS, and 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
Ability to lead team members in adopting new technologies
Exceptional communication and stakeholder management skills
Familiarity with DevOps tools and practices such as Jenkins and 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
Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution

Benefits

Comp & perks

No benefits or compensation extras are specified in the posting