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EXL

Data Engineer

EXL Gurugram, Haryana, India

Business Consulting and Services · 10,001+ employees

5 h ago Closes in 2d
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and maintain scalable ETL/ELT pipelines to support insurance pricing, underwriting, and actuarial analytics. Collaborate with cross-functional teams to deliver high-quality data assets for predictive models and regulatory reporting.

What they look for

SQL Snowflake PySpark Python ETL ELT Data Engineering Data Pipelines Actuarial Analytics Predictive Modeling GLM Data Quality Cloud Engineering Data Transformation Insurance Domain Knowledge

Requirements

Requires a Bachelor's or Master's degree in a quantitative field such as Computer Science, Engineering, or Statistics. Candidates must possess strong expertise in SQL, Snowflake, PySpark, and Python, along with relevant insurance domain knowledge.

Full description

  • 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

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