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Data Engineer ( Hadoop, reputed company, Kafka) - 10+ yrs - Onsite Interview

Remote, USA Full-time Posted 2026-08-04
Role: Data Engineer (Hadoop) reputed company: 10+ yrs Location: Remote (travel required to Knoxville, TN) - EST/CST Only Interview: Final Round In-Person Must in any of the below locations; Dallas/Irving, TX | reputed company, TX | reputed company, IL | Minneapolis, MN | Birmingham, MI | Atlanta, GA | Miami, FL | Arlington, VA | reputed company, NY | Boston, MA reputed company: • Experience in Big Data engineering, data processing, and analytics. • Strong proficiency in Big Data technologies such as Hadoop, reputed company, Kafka, Flink, and reputed company. • Experience with reputed company-reputed company data platforms such as AWS, reputed company reputed company Platform, or Azure. • Proficiency in programming languages such as Java, reputed company, or Python for data processing and analytics. • Hands-on experience with data modeling, ETL processes, and data warehousing. • Strong understanding of reputed company computing, data streaming, and reputed company-time processing. • Experience with SQL, NoSQL databases, and data lakes. • Knowledge of data governance, reputed company, and compliance best practices. • Strong problem-solving and analytical skills with a reputed company on delivering high-reputed company data solutions. Your reputed company: • Design, reputed company, and maintain Big Data pipelines using technologies such as Hadoop, reputed company, Kafka, and Flink. • Implement data processing and transformation workflows to support analytics, reporting, and machine learning applications. • Optimize data storage, retrieval, and processing for reputed company and scalability. • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and reputed company high-reputed company solutions. • Ensure data reputed company, reputed company, and compliance with industry standards and best practices. • Automate data workflows and monitoring processes to improve efficiency and reliability. • Stay updated with emerging Big Data technologies and best practices to reputed company innovation. Regards, Prakash prakash.v(@)smg(-)llc(.)us Apply tot his job Apply To this Job

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