Data Engineer

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Gurugram, Haryana, IND
Hybrid
Entry level
Information Technology • Database • Consulting
The Role
Designs and maintains scalable ETL/ELT data pipelines using Python, PySpark, SQL, and Snowflake for property and casualty insurance pricing, rating, underwriting, actuarial analytics, predictive models, and regulatory reporting. Responsibilities include data ingestion, transformation frameworks, large-scale processing optimization, data quality implementation, and cloud data modernization in collaboration with actuaries, data scientists, analysts, and cloud engineers.
Summary Generated by Built In
  • We are seeking a highly skilled Data Engineer to design, develop, and maintain scalable data pipelines supporting Property & Casualty (P&C) Insurance Pricing, Rating, Underwriting, and Actuarial Analytics. The ideal candidate will have strong expertise in SQL, Snowflake, PySpark, and Python, coupled with insurance domain knowledge across policy, claims, quote, coverage, and pricing datasets.
  • The candidate will work closely with Pricing Actuaries, Data Scientists, Business Analysts, and Cloud Engineering teams to deliver high-quality data assets that power predictive models, GLM pricing frameworks, rating updates, analytics, and regulatory reporting. The role involves building modern cloud-based ETL/ELT pipelines, optimizing large-scale data processing, implementing data quality frameworks, and supporting enterprise data modernization initiatives.
Responsibilities
  • Data Engineering & Pipeline Development
  • Design, develop, and support scalable ETL/ELT pipelines using Python, PySpark, and SQL.
  • Build and optimize Snowflake-based data solutions for pricing and actuarial analytics.
  • Create reusable and parameterized data processing frameworks.
  • Implement batch and incremental data ingestion pipelines.

Develop data transformation logic supporting GLM, predictive pricing, and rating models

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field.

Relevant Cloud Certifications (AWS, Snowflake, Databricks) preferred

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field
  • Expertise in SQL, Snowflake, PySpark, and Python
  • Insurance domain knowledge across policy, claims, quote, coverage, and pricing datasets
  • Relevant cloud certifications, such as AWS, Snowflake, or Databricks

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

EXL Insights

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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