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Hadoop Developer

A-Line Staffing Solutions
locationJacksonville, FL, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

Job Title: Senior Hadoop Developer

Location: Jacksonville, FL (Hybrid – 2 days/week onsite)

Rate: $60–$65/hr on W-2 (No C2C)

Position Overview:

We are seeking a Senior Hadoop Developer to design, build, and support scalable big data solutions, focusing on ingestion pattern development and Spark-based orchestration. You’ll play a critical role in managing large-scale data workflows, collaborating across teams to ensure efficient data ingestion, processing, and validation.

Key Responsibilities:

  • Design and implement modern ingestion patterns using Spark, ensuring scalability and performance
  • Build and maintain JARs for file parsing (CSV, JSON, Avro, Parquet) and writing to Iceberg
  • Integrate ingestion frameworks with Recon and CDC tools for seamless data validation and real-time processing
  • Collaborate with engineers, data scientists, and business teams to align ingestion solutions with broader architecture
  • Perform code reviews, maintain quality standards, and lead troubleshooting and optimization efforts
  • Participate in unit testing, documentation, deployment, and lifecycle management

Must-Have Skills & Experience:

  • 5+ years working within the Hadoop ecosystem (HDFS, Spark, Hive)
  • Strong hands-on experience with Spark (Scala/Java)
  • Proficiency in Java and/or Scala
  • Experience with Apache Iceberg and data warehousing concepts
  • Familiarity with Change Data Capture (CDC) tools and Recon frameworks
  • Experience building and deploying JARs
  • Strong understanding of ingestion patterns, data validation, and quality processes

Additional Requirements:

  • Strong analytical, problem-solving, and debugging skills
  • Familiarity with SDLC and Agile environments
  • Excellent verbal and written communication
  • Ability to work independently and within a cross-functional team
  • Proficiency with tools like Git, Visio, and MS Office Suite

Preferred Technical Stack:

  • Languages/Tools: Spark, Scala, Python, Java
  • Frameworks: Iceberg, CDC tools, Recon Frameworks
  • Platforms: Hadoop (HDFS), Hive

Education:

  • Bachelor’s degree in Computer Science, Information Systems, or related field — or equivalent work experience
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