EXL

Analyzes business data and runs outsourced operations

Lead Data Engineer AWS

Data EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A bachelor's degree in Engineering (BE/B.Tech) from a reputed institution is required.
At least 9 years of relevant experience in data engineering and project delivery is required.
Strong expertise in big data concepts and cloud implementation projects is required.
Proficiency in Snowflake, SQL, and AWS services including Glue, EMR, S3, Aurora, RDS, and AWS architecture is required.
Hands-on experience with Python, PySpark, and AWS cloud microservices is required.
Ability to perform coding, debugging, performance tuning, and production application deployments is required.
Strong problem-solving and analytical abilities, and aptitude for ownership, are required.
Experience with Agile methodology and iterative project deliveries is required.
Ability to lead team members in adopting new technologies is required.
Strong communication and stakeholder management skills are required.

Responsibilities

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

Desired Qualifications

Familiarity with DevOps tools and practices, including Jenkins and Git, and experience with CI/CD pipelines.
Knowledge of Spark, SQL with Snowflake exposure, and advanced big data concepts.
Experience with cloud migrations and development projects.
Knowledge of the US insurance and reinsurance domain.
Knowledge of Data Vault 2.0.

Lead Data Engineer-AWS

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

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.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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