BIG DATA ENGINEER

Prophecy Technologies

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in big data technologies, particularly Apache Spark and Hadoop.
  • Proven experience with Apache Ozone for object storage solutions.
  • Strong programming skills in Java, Scala, or Python.
  • Familiarity with large-scale cluster management and operational optimization.
  • Experience with cloud-based big data platforms and containerization methods.

Responsibilities

  • Design and implement efficient distributed data processing solutions.
  • Develop and maintain Spark applications for ETL and data transformation.
  • Utilize Apache Ozone for optimized storage and management of large datasets.
  • Monitor and troubleshoot performance issues in big data clusters.
  • Collaborate with cross-functional teams to enhance data solutions.

Benefits

  • Opportunity to work in a dynamic, team-oriented environment.
  • Regular in-office work at a convenient Berkeley Heights location.
  • Experience using cutting-edge big data technologies.
  • Exposure to cloud-based and containerized data solutions.
Full Job Description
Job Title: Big Data Engineer (Java,Spark, Hadoop, Ozone CH)

Location: Berkeley Heights, NJ

Role Overview:

We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ecosystem, and Apache Ozone. The ideal candidate will design, develop, and optimize large-scale data processing systems, ensuring high performance, scalability, and reliability for enterprise-level applications.

Key Responsibilities:
• Design and implement distributed data processing solutions using Apache Spark, Hadoop, Flink
• Develop and maintain Spark applications for data transformation, aggregation, and ETL processes using Scala, Java, or Python
• Utilize Apache Ozone for storing large-scale datasets, ensuring efficient data access and management in a distributed environment
• Manage and optimize HDFS and Apache Ozone, Kafka for scalable and fault-tolerant storage.
• Develop ETL pipelines for batch and real-time data ingestion and transformation.
• Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
• Monitor and troubleshoot performance issues in large-scale clusters.
• Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
• Automate workflows and improve operational efficiency using scripting and orchestration tools.

Required Skills & Qualifications:
• Strong expertise in Apache Spark (Core, SQL, Streaming).
• Hands-on experience with Hadoop ecosystem (HDFS, YARN, MapReduce).
• Proficiency in Apache Ozone for object storage and integration with Hadoop.
• Solid programming skills in Java , Scala , or Python.
• Experience with Hive, HBase , and Kafka is a plus.
• Knowledge of cluster management and resource optimization.
• Familiarity with Linux/Unix environments and shell scripting.
• Understanding of data security, governance, and compliance standards.
• Experience with cloud-based big data platforms
• Exposure to containerization (Docker, Kubernetes) for big data workloads.
• Knowledge of CI/CD pipelines for data engineering projects.

Behavioral Skills:
• Good Communication skills
• 5 days Work from Office at Berkley Heights, NJ
• Team Player
• Ability to work in a changing environment
• Strong problem solving and analytical skills
• Ability to work independently or within a team
• Manage day-to-day challenges and communicate developmental risks with the technical team

Qualifications:
• Bachelor's degree in computer science, Software Engineering, or a related field.
• Proficiency in business process modeling and documentation tools.
• Product implementation experience is preferred

Similar Jobs

More Jobs at Prophecy Technologies

More Information Technology Jobs

Find similar BIG DATA ENGINEER jobs: