Sr Developer with 6 to 10 years of experience will design and optimize data solutions using LakeHouse Spark Job Definition OneLake SQL and PySpark while working in a hybrid day shift model and collaborating with cross functional teams to deliver reliable analytics that support retail banking focused initiatives and strategic decision making across the organization
Responsibilities
Design advanced data processing solutions on LakeHouse platforms that enable reliable analytics and reporting for critical business initiatives across hybrid environments
Develop scalable Spark Job Definition pipelines that process large data volumes efficiently while maintaining accuracy and consistency for downstream consumers
Build and optimize PySpark jobs that transform raw data into curated data sets supporting complex analytical models and operational dashboards for internal stakeholders
Write high quality SQL queries and stored procedures that ensure robust data extraction transformation and loading while adhering to performance and security standards
Implement data models within OneLake that unify structured and semi structured data sources to provide a single trusted view for analytics and data products
Collaborate with data engineers architects and analysts to translate business requirements into technical solutions that align with enterprise data strategies
Optimize data pipelines for performance reliability and cost efficiency by tuning Spark configurations query logic and resource utilization across environments
Implement data quality checks validation rules and monitoring processes that prevent data issues and ensure trustworthy insights for decision makers
Document technical designs data flows and operational procedures clearly so that solutions are easy to maintain enhance and troubleshoot by the wider team
Support production deployments by analyzing issues performing impact assessments and implementing reliable fixes that minimize disruption to business opera
📌 Sr. Developer (Chennai)
🏢 Cognizant
📍 Chennai
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