Data Engineer

EXL

. Design, develop, and maintain scalable data pipelines supporting Property & Casualty (P&C) Insurance Pricing, Rating, Underwriting, and Actuarial Analytics .

Posted 11/1/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable ETL/ELT pipelines using Python, PySpark, and SQL, while optimizing data processing for Property & Casualty Insurance analytics. Possesses strong knowledge of cloud technologies and data quality frameworks to support predictive modeling and regulatory reporting.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentPython ProgrammingSQL ExpertiseSnowflake Data SolutionsInsurance Domain Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentELT DevelopmentData Pipeline DesignData Transformation LogicData Quality FrameworksPredictive ModelingGLM Pricing FrameworksBatch Data IngestionIncremental Data IngestionData Processing Optimization

Tools & Technologies

SnowflakePySparkAWSDatabricksCloud Engineering

Certifications & Qualifications

AWS CertificationSnowflake CertificationDatabricks Certification

Industry Keywords

Property & Casualty InsurancePricingRatingUnderwritingActuarial AnalyticsPolicy DataClaims DataQuote DataCoverage Data

Tech Stack

Tools & technologies

AWSCloudETLPySparkPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines supporting Property & Casualty (P&C) Insurance Pricing, Rating, Underwriting, and Actuarial Analytics
Work closely with Pricing Actuaries, Data Scientists, Business Analysts, and Cloud Engineering teams
Deliver high-quality data assets supporting predictive models, GLM pricing frameworks, rating updates, analytics, and regulatory reporting
Build modern cloud-based ETL/ELT pipelines
Optimize large-scale data processing
Implement data quality frameworks
Support enterprise data modernization initiatives
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

Requirements

What you’ll need

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
Strong expertise in SQL, Snowflake, PySpark, and Python
Insurance domain knowledge across policy, claims, quote, coverage, and pricing datasets

Benefits

Comp & perks

Hybrid work arrangement