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Please find the job description given below and let me know your interest.

Position: Senior Java Big Data Engineer
Location: Onsite- Santa Clara, CA (Relocation is fine)
Duration: 6+ Months

Job Description

We are seeking a seasoned Senior Java Developer with deep expertise in Big Data technologies and Kubernetes to build and optimize scalable, containerized data platforms. You will drive development of high-performance applications, manage distributed systems, and ensure seamless orchestration in cloud-native environments.

Key Responsibilities:

• Develop and maintain robust Java-based applications integrated with Big Data ecosystems (e.g., HDFS, Spark, Impala, Hive).

• Design and deploy microservices using Docker, Kubernetes, Helm, Kustomize, and operators.

• Optimize scripting for automation, data pipelines, and system internals (schedulers, controllers, API server).

• Collaborate on distributed storage solutions like TSDB, Redis, and Airflow.

• Troubleshoot and enhance performance in large-scale data environments.

Must-Have Skills:

• Excellent hands-on experience with Java, Python, and shell scripting.

• Strong scripting/programming skills.

• Strong background in Docker, containerization, and microservices architecture.

• Expertise with Kubernetes internals (schedulers, controllers, API server, etc.).

• Proficiency with Helm, Kustomize, and Kubernetes operators.

Good-to-Have Skills:

• Experience supporting distributed TSDB, Redis, Airflow.

• Experience with VictoriaMetrics is a plus.

• Hands-on experience with Big Data components (HDFS, Spark, Impala, Hive, or similar) is a plus.

Please share your updated resume and suggest the best number & time to connect with you