Snowflake AWS Data Engineer_4-7years_PAN India Functional Practices: Full Stack Developer Job type: Permanent

Contact name: Jagrati Taneja

Contact email: [email protected]

Job ref: 128254

Published: about 20 hours ago

Data Engineer - Snowflake AWS - P&C; Insurance Pricing & Analytics Summary

We are looking for 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, Python, and PySpark, along with hands-on experience in the P&C; Insurance domain. You will work closely with Pricing Actuaries, Data Scientists, Business Analysts, and Cloud Engineering teams to build high-quality data assets supporting predictive models, GLM pricing frameworks, rating updates, analytics, and regulatory reporting.

Location

Noida/Gurugram/Pune/Bangalore

Your Future Employer Client is a leading global operations management and analytics company that helps businesses enhance growth and profitability through analytics, automation, benchmarking, consulting, industry best practices, and technology platforms.

With 24,000 professionals across the United States, Europe, Asia, Latin America, Australia, and South Africa, it serves diverse industries including insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics.

We provide data-driven, action-oriented solutions through statistical data mining, advanced analytics techniques, and a consultative approach. Its global analytics team works with organizations on complex challenges across risk management, pricing, marketing, CRM, cost optimization, and resource optimization. Professionals get the opportunity to work with experienced analytics consultants, develop expertise in advanced analytical tools and techniques, collaborate on challenging business problems, and build long-term careers in a fast-paced and innovative environment.

Responsibilities

- Data Engineering &

• Pipeline Development - Design, develop, and support scalable ETL/ELT pipelines using Python, PySpark, and SQL, including batch and incremental data ingestion and reusable data processing frameworks.





- P&C; Insurance Data Management - Build integrated datasets from policy administration, claims, quote, vehicle and driver, property, agency, and third-party data sources to support pricing and underwriting analytics.
- Snowflake &

• Cloud Engineering

- Develop optimized Snowflake SQL procedures, views, tasks, and data marts, implement performance tuning, and support migration of legacy EDW pipelines to cloud-based platforms.
- Data Quality &

• Governance

- Implement automated data validation and reconciliation frameworks, perform source-to-target mapping, document data lineage, and develop monitoring mechanisms for pipeline health and data reliability.
- Analytics &

• Delivery

- Partner with Data Scientists and Actuarial teams to productionize feature pipelines and model refresh processes while participating in Agile delivery, code reviews, testing, deployment, CI/CD activities, and technical documentation.
Requirements

- 5 years of Advanced SQL experience, with 3 years of Snowflake, Python, and PySpark/Spark SQL experience.
- Strong understanding of data warehousing, ETL/ELT development, data modeling, Git version control, and large-scale data processing.
- Mandatory 2 years of Property &

• Casualty (P&C;) Insurance experience, with a strong understanding of Personal Auto, Homeowners, Commercial Lines, Pricing &

• Rating Analytics, GLM-based Pricing Models, Underwriting Data, Policy &

• Claims Data Structures, and Actuarial Data Flows.

- Strong experience in Snowflake-based data solutions, data transformation, feature engineering, data quality, source-to-target mapping, and data lineage.
- Exposure to Databricks, AWS (S3, Glue, EMR, Lambda), Airflow, Jenkins, Docker, CI/CD, Delta Lake/Iceberg, or REST APIs will be preferred.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Data Science, or a related field is preferred.

What is in it for you

- Opportunity to work on large-scale P&C; Insurance Pricing, Rating, Underwriting,



and Actuarial Analytics initiatives.
- Exposure to modern data engineering technologies including Snowflake, PySpark, Python, AWS, Databricks, and cloud data platforms.
- Opportunity to work closely with Pricing Actuaries, Data Scientists, Business Analysts, and Cloud Engineering teams.
- Experience working on GLM pricing, predictive models, feature engineering, insurance data modernization, and regulatory analytics.
- Access to learning, mentoring, coaching, and development opportunities in a fast-paced and innovative analytics environment.
- Chance to work alongside experienced analytics professionals and contribute to meaningful business decisions through data and analytics.

Reach us If you think this role is aligned with your career, kindly write to me along with your updated CV for a confidential discussion on the role.

Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note We receive a lot of applications on a daily basis, so it becomes difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us within 1 week. Your patience is highly appreciated.

Scammers can misuse Crescendo Global's name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert!

Profile Keywords Data Engineer, P&C; Insurance, Property & Casualty Insurance, Insurance Data Engineer, SQL, Snowflake, Python, PySpark, Spark SQL, Data Engineering, ETL, ELT, Data Warehousing, Data Modeling, AWS, Databricks, Airflow, Insurance Pricing, Pricing Analytics, Rating Analytics, GLM Pricing, Actuarial Analytics, Underwriting Analytics, Policy Data, Claims Data, Commercial Lines, Personal Auto, Homeowners Insurance, Feature Engineering, Data Quality, Data Governance, Data Lineage, Cloud Data Engineering, Insurance Data Modernization, Crescendo Global

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