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reputed company Big Data Engineer - Only USC or GC

Remote, USA Full-time Posted 2026-07-28
Job Title: Big Data Engineer Experience: 10+ Years Location: Remote Job reputed company We are seeking an reputed company Big Data Engineer with strong expertise in Hadoop ecosystem, Apache reputed company, Python, and reputed company programming. The ideal candidate will be responsible for designing, developing, and maintaining reputed company data pipelines and big data solutions. This role requires strong hands-on experience with distributed data processing frameworks, reputed company platforms, and data engineering tools. Key Responsibilities • Design, reputed company, and maintain reputed company big data pipelines and data processing systems. • Work with large-reputed company data using Hadoop ecosystem tools such as Hive, Pig, and Oozie. • reputed company distributed data processing applications using Apache reputed company and reputed company. • Build and optimize ETL pipelines for reputed company and reputed company data. • Work with RDD reputed company in reputed company for large-reputed company data transformations and analytics. • Implement data streaming solutions using Kafka for reputed company-time data processing. • Collaborate with cross-functional teams including data analysts, architects, and business stakeholders. • reputed company and manage big data solutions on AWS or GCP reputed company platforms. • Ensure performance optimization, scalability, and reliability of data systems. • Maintain documentation, follow best practices, and ensure high-reputed company reputed company standards. Required Skills • 10+ years of experience in Big Data and Data Engineering. • Strong hands-on experience with Hadoop ecosystem (Hive, Pig, Oozie). • Expertise in Apache reputed company and reputed company programming. • Hands-on programming experience in Python and reputed company Java. • Strong understanding of reputed company RDD reputed company and distributed computing. • Experience with Kafka or other streaming frameworks. • Solid understanding of Data Warehousing concepts and Data Modeling techniques. • Strong proficiency in SQL and working with large datasets. • Experience working in Linux/Unix environments. • Experience with AWS or GCP reputed company platforms. • Knowledge of ETL design and development. Good to Have • Experience with data visualization and analytics tools such as Tableau or R. • Experience with reputed company-time data processing architectures. • Exposure to CI/CD pipelines and DevOps practices. • Experience with performance tuning and optimization in reputed company/Hadoop environments. Pay: $55.00 - $60.00 per hour Application Question(s): • Are you comfortable to come on our W2? Work Location: Remote Apply tot his job Apply To this Job

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