VySystems

Data Engineer : Hadoop

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Hadoop and Apache Spark, requiring a Bachelor’s degree and strong skills in Scala, Java, or Python. The contract is on-site in Berkley Heights, NJ, with a pay rate of "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Berkeley Heights, NJ
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🧠 - Skills detailed
#Apache Ozone #HDFS (Hadoop Distributed File System) #Data Security #Spark (Apache Spark) #Data Access #Security #Cloud #Batch #YARN (Yet Another Resource Negotiator) #Programming #Unix #Hadoop #Big Data #Scripting #Documentation #Kubernetes #Data Processing #Python #SQL (Structured Query Language) #Compliance #Data Engineering #Datasets #Data Science #Docker #Scala #Linux #Apache Spark #Shell Scripting #Data Ingestion #Java #Computer Science #Storage #HBase #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka)
Role description
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