Sr. Developer
cognizant
Job Description
- 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 clear 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 stable for day shift operations
- Participate in sprint activities by estimating effort planning tasks and delivering high quality development outcomes aligned with agreed timelines
- Engage with testing teams to define test data scenarios and acceptance criteria that reflect real life and annuities processes and edge cases
- Contribute to continuous improvement by identifying opportunities to streamline workflows reduce manual steps and enhance analytics capabilities for business stakeholders