This hybrid role seeks a senior developer with six to eight years of experience specializing in Databricks SQL Databricks Workflows and PySpark to build and optimize data solutions for life and annuities insurance. The role focuses on scalable pipelines reliable analytics and insight delivery that improve policyholder outcomes and support responsible business decisions.
Responsibilities
Design build and optimize Databricks SQL queries that support complex life and annuities insurance reporting and analytics needs while ensuring accuracy and performance
Develop robust PySpark based data pipelines that process large insurance datasets efficiently and reliably for downstream actuarial and operational use
Configure and maintain Databricks Workflows that orchestrate end to end data processing and analytics tasks across hybrid environments with predictable execution
Implement data quality checks and validation rules tailored to life and annuities products so that policy claim and premium data remains consistent and trusted
Collaborate with business analysts and actuaries to translate life and annuities requirements into scalable Databricks solutions that enable data driven decisions
Optimize storage formats partitioning strategies and cluster configurations in Databricks to balance cost performance and reliability for large insurance workloads
Create explicit technical documentation that explains data models transformation logic and workflow behavior in language that is understandable across technology and insurance teams
Support day to day production operations by investigating incidents resolving data issues and implementing preventive improvements that reduce recurring problems
Apply secure coding and data handling practices so that sensitive insurance data is protected in line with enterprise governance and regulatory expectations
Coordinate with hybrid infrastructure and platform teams to ensure Databricks environments connectivity and dependencies are st
📌 Sr. Developer (Kolkata)
🏢 Cognizant
📍 Kolkata
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