Senior Hadoop Engineer at JPS Tech Solutions LLC

Job Title: Senior Hadoop Engineer Location: Madison Wisconsin 53703 Experience: 12 Years Employment Type: Contract Job Description We are seeking a highly experienced Senior Hadoop Engineer to lead the design development and optimization of our large-scale data processing and analytics environment. The ideal candidate will have extensive hands-on expertise in Hadoop ecosystem tools and distributed data frameworks. This role involves working closely with data architects analysts and application teams to build scalable and secure big-data solutions that support business-critical analytics. Key Responsibilities Design build and maintain Hadoop-based big data platforms and data pipelines. Implement and optimize large-scale data processing applications using tools such as HDFS Hive Spark Impala and HBase. Work with engineering and business teams to translate requirements into scalable data architecture. Improve performance and reliability of Hadoop clusters including monitoring capacity planning and tuning. Develop and manage ETL processes that integrate data from multiple sources. Ensure data security governance and compliance across all Hadoop environments. Automate operational tasks and support continuous deployment practices. Troubleshoot issues across Hadoop components and provide root-cause analysis. Support migration and modernization initiatives to cloud platforms when applicable. Required Skills and Experience 12 years of professional experience in data engineering or software engineering roles. Strong expertise in Hadoop ecosystem tools including HDFS YARN Hive Pig Spark Kafka Sqoop Oozie and Zookeeper. Proficiency in programming languages such as Java Scala and Python. Solid understanding of distributed systems parallel processing and performance optimization. Experience working with relational and NoSQL databases (e.g. Oracle MySQL HBase Cassandra MongoDB). Hands-on experience with data ingestion and ETL pipelines. Experience with version control CI/CD tools and Linux environments. Familiarity with cloud platforms such as AWS Azure or GCP is preferred. Strong analytical problem-solving and communication skills. Preferred Qualifications Experience working in a large enterprise or government project environment. Certifications in Big Data Cloud or Data Engineering. Experience implementing real-time streaming solutions with Kafka and Spark Streaming. Education Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field. Key Skills APIs,C/C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage Experience: years Vacancy: 1