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Java developer with Apache spark

NimbusAITech LLC
Richmond, VA Full Time
POSTED ON 3/29/2025
AVAILABLE BEFORE 5/29/2025

Job Details

Job Title: Java Developer with Strong Spark Experience

Location: Richmond, Virginia (Hybrid)
Job Type: [Contract-W2]

Job Description:

We are seeking a skilled Java Developer with Apache Spark experience to design, develop, and optimize large-scale data processing applications. The ideal candidate should have a strong background in Java, distributed computing, and big data technologies to work on high-performance, scalable solutions.

Key Responsibilities:

  • Develop and maintain Java-based big data applications using Apache Spark.
  • Design and optimize ETL pipelines for data ingestion, transformation, and processing.
  • Implement distributed computing solutions to handle large datasets efficiently.
  • Work with Hadoop, Hive, and other big data frameworks to integrate and manage data.
  • Optimize Spark jobs for performance tuning and cost efficiency.
  • Collaborate with data engineers, analysts, and business teams to deliver scalable solutions.
  • Ensure code quality, security, and best practices in software development.

Required Skills & Qualifications:

  • 5 years of Java development experience.
  • 5 years of hands-on experience with Apache Spark (RDDs, DataFrames, Datasets).
  • Strong understanding of Hadoop ecosystem (HDFS, Hive, YARN, etc.).
  • Experience with SQL, NoSQL databases, and distributed computing.
  • Familiarity with Kafka, Scala, or Python is a plus.
  • Knowledge of cloud platforms (AWS, Google Cloud Platform, Azure) is an advantage.
  • Excellent problem-solving and communication skills.

If you're passionate about big data processing and distributed systems, we encourage you to apply!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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