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Xcede Job Opportunity: Senior Data Engineer Are you an experienced Senior Data Engineer with a passion for building robust and scalable data processing systems? Join our dynamic team and contribute your expertise to drive our data infrastructure to new heights Role: Senior Data Engineer Skills: SQL, Python, Java, Hadoop Experience: Designing, building, and maintaining data processing systems with a focus on scaling and performance. Previous experience managing and optimizing large datasets, along with designing ETL processes. What You'll Do: Collaborate with cross-functional teams to architect, build, and enhance data processing pipelines. Utilize your expertise in SQL, Python, Java, and Hadoop to ensure efficient data flow and transformation. Design and implement ETL processes that extract, transform, and load data seamlessly. Manage and optimize large datasets for performance and reliability. Play a key role in driving scalability and performance improvements within our data infrastructure. Requirements: At least 5 years' experience as a Data Engineer or similar role Proven experience in designing, building, and maintaining data processing systems. Strong proficiency in SQL, Python, Java, and Hadoop. Track record of optimizing and managing large datasets for maximum efficiency. Previous involvement in designing robust ETL processes. Passion for staying up-to-date with industry trends and emerging technologies. If you're ready to make a significant impact by leveraging your Senior Data Engineer skills, we'd love to hear from you Apply now Apply Now

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