Hadoop Data Engineer

I'm #hiring. Know anyone who might be interested? Please share me your updated resume on [Upgrade to PRO to see contact] ⭐ C2C. H1B, ⭐ W2: USC/GC/GC-EAD Role –Hadoop Data Engineer Location:Scottsdale AZ (100%) Duration: C2C/W2  Job Description: Key Responsibilities · Design, develop, and maintain scalable data processing applications using Java (8 or above) and Spring Boot. · Build and optimize big data pipelines using Spark and Scala for large-scale data processing. · Develop and consume RESTful web services for data integration and platform interoperability. · Implement and manage batch and streaming data pipelines using Spark Streaming and Kafka. · Write optimized Hive queries and SQL, focusing on performance and scalability. · Work on distributed data platforms leveraging Hadoop ecosystem components. · Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. · Ensure code quality through reviews, version control, and CI/CD best practices. · Troubleshoot and resolve performance, scalability, and data reliability issues.  Required Skills & Qualifications · 8–12 years of hands-on experience in Java (version 8 or above). · Strong expertise in Spring Boot framework. · Excellent proficiency in Apache Spark and Scala. · Strong experience with Hive, SQL optimization, Hadoop, and Kafka. · Solid understanding of RESTful web services. · Experience with version control systems such as Git / GitLab. · Hands-on experience with build tools like Maven and/or Gradle. · Strong understanding of distributed systems and big data architecture. · Experience with streaming frameworks such as Spark Streaming and Kafka Streams. · Experience working in large-scale enterprise data platforms. · Exposure to performance tuning and capacity planning for big data systems. · Knowledge of DevOps or CI/CD pipelines is a plus.