1 day ago
Kolkāta, IndiaSenior
Responsibilities
- Design, build, and optimize Databricks SQL queries for life and annuities insurance reporting and analytics.
- Develop robust PySpark data pipelines for large insurance datasets used by actuarial and operational teams.
- Configure and maintain Databricks Workflows for end-to-end data processing and analytics orchestration.
- Implement data quality checks, validation rules, and test scenarios for policy, claim, and premium data.
- Optimize storage formats, partitioning strategies, and Databricks cluster configurations for cost, performance, and reliability.
- Collaborate with business analysts, actuaries, testing teams, and platform teams to translate requirements into scalable solutions.
- Document data models, transformation logic, workflow behavior, and technical decisions for technical and insurance stakeholders.
- Investigate production incidents, resolve data issues, and implement preventive improvements.
- Apply secure coding and data-handling practices for sensitive insurance information.
- Participate in sprint planning, estimation, task delivery, and continuous workflow improvement.
Requirements
- Six to eight years of professional experience in data engineering or development roles, with a strong focus on Databricks SQL and PySpark.
- Hands-on expertise configuring and managing Databricks Workflows for complex multi-step data and analytics processes.
- Strong understanding of life and annuities insurance concepts, including policy lifecycles, premiums, claims, reserves, and related data structures.
- Strong PySpark proficiency, including transformation tuning and processing large-scale structured and semi-structured datasets.
- Knowledge of relational databases, data warehousing, and dimensional modeling for insurance reporting and analytics.
- Familiarity with data governance practices such as data lineage, metadata management, and access control in regulated industries.
- Clear communication and documentation skills for cross-functional collaboration.
- Preferred certifications include Databricks Data Engineer Associate and relevant insurance or actuarial certifications.
Benefits
- Hybrid work model with coordination across hybrid infrastructure and platform teams.
Tech Stack
DatabricksSQL
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.