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Neotech Global · Scottsdale, AZ

Hadoop Data Engineer(Strong Java Experience)

entry_levelcontractPosted 2 days ago
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Stack mentioned

hadoopdata-engineeringjavaspringetlscalaapache-sparkapache-kafkasqlci/cdgitgitlabsystem-designkafka-streamsdevops

Role : Hadoop Data Engineer(Strong Java Experience)

Location : Scottsdale AZ (100% Onsite)

Please note: Once the candidate is selected, Day 1 onboarding will be conducted in person at the designated location. All travel expenses which include only to-and-fro travel tickets will be booked by Persistent. Candidates are encouraged to plan accordingly and can be assured that the onboarding experience will be supported from the outset

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.

Rajeshwar Ponnam

Senior Technical Recruiter

M: +1 (908) 251-9395

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Hadoop Data Engineer(Strong Java Experience) at Neotech Global (Scottsdale, AZ) | AI Jobs Map