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EXL

Analyzes business data and runs outsourced operations

AWS Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 9 years of relevant experience in data engineering and project delivery.
  • Strong expertise in big data concepts and cloud implementation projects.
  • Proficiency in Snowflake, SQL, and AWS services, including Glue, EMR, S3, Aurora, RDS, and AWS architecture.
  • Hands-on experience with Python, PySpark, and AWS cloud microservices.
  • Ability to code, debug, tune performance, and deploy applications to production environments.
  • Strong problem-solving and analytical abilities, with ownership aptitude.
  • Experience with Agile methodology and iterative project deliveries.
  • Ability to lead team members in adopting new technologies.
  • Strong communication and stakeholder management skills.
  • Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution.

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 statuses.
  • Identify, track, and address project risks or issues promptly.
  • Work with management to ensure seamless execution of tasks.
  • Provide technical guidance to the team on design, implementation, and delivery strategies.

Desired Qualifications

  • Familiarity with DevOps tools and practices, such as 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.

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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