Job Summary

This hybrid day shift role seeks a seasoned technical professional with eight to twelve years of experience to guide complex data solutions using Azure Data Factory and Databricks for a multinational organization. The role focuses on designing implementing and optimizing robust data pipelines and analytics platforms that support strategic decisions and enhance business outcomes across diverse functions including life and annuities insurance domains.

Responsibilities

• Drive the design and implementation of scalable data pipelines using Azure Data Factory and Databricks to ensure timely and reliable data availability for critical business analytics and reporting needs.
• Coordinate end to end data ingestion workflows from diverse source systems into centralized data platforms while ensuring data quality consistency and alignment with enterprise architecture guidelines.
• Optimize Databricks based data transformation processes through efficient coding practices resource tuning and job scheduling to deliver high performing and cost effective data solutions.




• Implement robust data validation monitoring and alerting mechanisms across Azure Data Factory and Databricks workloads to proactively detect issues and minimize disruption to downstream consumers.
• Collaborate closely with architects business analysts and data consumers to translate functional requirements into technical designs that maximize the value of enterprise data assets.
• Guide the adoption of best practices in data engineering including reusable frameworks standardized coding conventions and documentation to improve maintainability and onboarding efficiency across project teams.
• Evaluate and refine data security and access control configurations across Azure services to protect sensitive information and align with regulatory expectations in relevant insurance and financial contexts.
• Coordinate hybrid work collaboration by planning explicit task breakdowns online reviews and knowledge sha

📌 Technical Lead (Kolkata)
🏢 Cognizant
📍 Kolkata