Capgemini Hiring Scala Spark Developer | Bangalore, Chennai, Hyderabad
Role Overview
Job Overview Capgemini is hiring an experienced Scala Spark Developer for its Bengaluru, Chennai, and Hyderabad locations. This permanent onsite opportunity is designed for experienced professionals who have strong expertise in Scala, Apache Spark, big data engineering, and distributed data processing. The selected candidate will build scalable Spark-based data pipelines, work with HDFS environments, perform data analysis and profiling, and collaborate with Agile teams to deliver enterprise-grade data engineering solutions. Key Responsibilities - Design and develop Spark-based data pipelines. - Build scalable data engineering solutions using Scala. - Develop SQL queries for DB2 databases. - Process JSON, Parquet, AVRO, ORC, and XML datasets. - Develop and maintain HDFS-based applications. - Perform data profiling, lineage analysis, and validation. - Collaborate with Agile development teams. - Ensure reliable, maintainable, and high-performance data solutions. Required Skills Scala, Apache Spark, SQL, DB2, HDFS, data engineering, data profiling, data lineage, Agile development, and big data processing. Preferred Skills Experience with enterprise-scale analytics and distributed data platforms. Education Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline. Experience Relevant professional experience in Scala and Spark development is required. Required Technologies Scala, Apache Spark, SQL, DB2, HDFS, JSON, Parquet, AVRO, ORC, XML, Agile. Soft Skills Strong communication, analytical thinking, collaboration, teamwork, and problem-solving. Benefits of Working in this Role Access to learning opportunities, wellness programs, inclusive culture, career guidance, and innovative enterprise projects. Work Mode Onsite. Location Bengaluru, Chennai, and Hyderabad. Who Should Apply Experienced Scala and Spark developers interested in enterprise data engineering and analytics. Career Growth Advance toward Senior Data Engineer, Big Data Architect, Technical Lead, Solution Architect, or Engineering Manager roles. Application Advice Highlight Scala, Spark, HDFS, SQL, DB2, and large-scale data engineering experience. Apply now through SoftoJobs to explore this opportunity.
Technical Ecosystem
Eligibility Criteria
Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
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