Senior Hadoop/Java Developer - Hybrid ARC Group has an immediate opportunity for a Senior Hadoop Developer! This position is a hybrid role in Jacksonville, FL. This is starting out as a contract position running through December 2025 with strong potential to extend longer or convert to FTE. This is a fantastic opportunity to join a well-respected organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. Reference # 18857-1. Candidates must currently have PERMANENT US work authorization. Sorry, but we are not considering any candidates from outside companies for this position (no C2C, 3rd party/brokering). Hybrid/onsite (Jacksonville)-2 days per week. Project Scope PROJECT: Ingestion Modernization Framework project (Moving from old ingestion framework (Perrato) to Iceberg Apache) Job Summary We are seeking an experienced Sr Java and Hadoop Developer to join our team. The ideal candidate will have a strong background in Java and Hadoop ecosystem, with expertise in designing and developing scalable, efficient, and reliable big data solutions. The candidate will be responsible for leading the development of our data processing and analytics platform, working closely with cross-functional teams to ensure seamless integration and delivery of high-quality solutions. Requirements 5+ years of experience in Java and Hadoop ecosystem (HDFS, Spark, Hive, etc.) Strong expertise in Java and Hadoop development, including data processing, data integration, and data analytics Experience with Spark (Scala/Java) and experience with Spark-based data processing frameworks Proficiency in Java programming language and experience with Java-based frameworks (e.g., Spring, Hibernate) Experience with Hadoop-based data storage solutions (e.g., HDFS, HBase) Familiarity with data warehousing concepts and ETL tools (e.g., Informatica, Talend) Proven experience in designing and developing big data solutions, preferably with Hadoop and Spark. Experience with data processing, integration, and reconciliation, including data quality and validation. Excellent collaboration and communication skills, with the ability to work with cross-functional teams and stakeholders. Strong problem-solving and troubleshooting skills, with the ability to analyze complex issues and develop effective solutions. Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Proficiency using versioning tools: GIT. Job Requirements Experience and understanding with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Proficiency using versioning tools Thorough knowledge of Information Technology fields and computer systems Demonstrated organizational, analytical and interpersonal skills Flexible team player Ability to manage tasks independently and take ownership of responsibilities Ability to learn from mistakes and apply constructive feedback to improve performance Must demonstrate initiative and effective independent decision-making skills Ability to communicate technical information clearly and articulately Ability to adapt to a rapidly changing environment In-depth understanding of the systems development life cycle Proficiency programming in more than one object-oriented programming language Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio Proficiency using debugging tools High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy Key Responsibilities Real-Time Data Processing: Develop and maintain real-time data processing systems, ensuring low-latency and high-throughput. Batch Processing: Design and develop batch processing systems, ensuring efficient and reliable data processing. Data Ingestion and Integration: Develop and maintain data ingestion and integration pipelines, ensuring data quality and integrity. Data Storage and Retrieval: Design and develop data storage and retrieval systems, ensuring efficient and reliable data access. Would you like to know more about our new opportunity? For immediate consideration, please send your resume directly to Suresh Gaddala at suresh@arcgonline.com or apply online while viewing all of our open positions. American Recruiting & Consulting Group
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