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Data Engineer Spark Hadoop Apache Ozone Berkeley Heights NJ

Job in Hanover Township, Morris County, New Jersey, USA
Listing for: IPolarity LLC
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Engineer, Big Data
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Data Engineer (Spark | Hadoop | Apache Ozone)

Berkeley Heights, NJ (Onsite)

Responsibilities:
  • Design and implement scalable distributed data processing solutions using Apache Spark and the Hadoop ecosystem.
  • Build and maintain Spark applications for ETL, aggregation, and large-scale data transformation.
  • Implement and manage enterprise data storage using Apache Ozone and HDFS.
  • Develop batch and real-time ingestion pipelines using modern big data technologies.
  • Optimize cluster performance, storage efficiency, and resource utilization.
  • Ensure data quality, governance, security, and compliance across platforms.
  • Troubleshoot performance issues across distributed environments.
  • Collaborate with Data Scientists, Analysts, and Application teams to deliver reliable data solutions.
  • Automate workflows and operational processes using scripting and orchestration tools.
Required Skills:
  • Strong experience with Apache Spark (Core, SQL, Streaming).
  • Hands‑on expertise with Hadoop ecosystem (HDFS, YARN, Map Reduce).
  • Experience working with Apache Ozone object storage.
  • Programming skills in Python, Scala, or Java.
  • Experience building scalable ETL/Data Pipelines.
  • Knowledge of distributed systems and cluster optimization.
  • Strong Linux/Unix and shell scripting experience.
  • Understanding of data security, governance, and compliance practices.
Preferred

Skills:
  • Hive, HBase, or Kafka experience.
  • Cloud-based big data platforms (AWS, Azure, or GCP).
  • Containerization exposure (Docker, Kubernetes).
  • CI/CD and automation for data engineering workflows.
Qualifications:
  • Bachelor’s degree in computer science, Software Engineering, or related field.
  • Experience delivering enterprise data platform or product implementations preferred.
  • Excellent communication and collaboration skills, and Strong problem-solving mindset and analytical thinking.
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