spark developer

3 weeks ago


Bengaluru, India Quess Full time
About Us “Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.” About Company Roles and Responsibility

Job Title: Spark developerExperience:5-10 YearsNoticePeriod: Immediate to 15 daysLocation: BangaloreJD:KeyResponsibilities:·Data Processing and Analysis:·Design, develop, and maintainscalable data processing pipelines using Apache Spark.·Implement data transformation,aggregation, and enrichment processes to support business analytics andreporting.·Performance Optimization:·Optimize Spark applications forperformance, including tuning Spark jobs, managing resource allocation, andimproving processing efficiency.·Identify and resolve performancebottlenecks in data processing workflows.·Data Integration and ETL:·Develop ETL (Extract, Transform,Load) processes to integrate data from various sources into big data platforms.·Ensure data quality, consistency,and integrity throughout the data processing lifecycle.·Collaboration and RequirementsGathering:·Work closely with data engineers,data scientists, and business stakeholders to gather requirements andunderstand data needs.·Translate business requirements intotechnical specifications and design solutions that meet those needs.·Code Quality and Best Practices:·Write clean, maintainable, andefficient code following best practices and coding standards.·Conduct code reviews and provideconstructive feedback to team members.·Big Data Technologies:·Leverage big data technologies suchas Hadoop, HDFS, Hive, HBase, and Kafka to build robust data processingsolutions.·Stay updated with the latest trendsand advancements in big data technologies and incorporate them into existingworkflows.·Documentation and Reporting:·Create and maintain technicaldocumentation for data processing pipelines, ETL processes, and systemarchitectures·Generate reports and dashboards toprovide visibility into data processing performance and health.


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