Role : Hadoop Data Engineer
Location : Scottsdale AZ (100% Onsite)
Key Responsibilities
• 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
• 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.