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 secure fixes that m
📌 Sr. Developer (Chennai)
🏢 Cognizant Consulting
📍 Chennai
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