Ampstek
Data Engineer (Spark, Hadoop)-W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Spark, Hadoop) on a long-term contract in Berkeley Heights, NJ. Key skills include Apache Spark, Hadoop, and Apache Ozone. Proficiency in Java, Scala, or Python is required, along with experience in cloud-based big data platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Berkeley Heights, NJ
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🧠 - Skills detailed
#Shell Scripting #SQL (Structured Query Language) #Apache Ozone #HBase #"ETL (Extract #Transform #Load)" #Python #Data Science #Batch #Big Data #Hadoop #Data Access #Spark (Apache Spark) #Unix #Data Ingestion #Data Security #Compliance #Programming #Security #Scala #Scripting #Kubernetes #Data Processing #Datasets #Data Engineering #Linux #Storage #Apache Spark #Docker #Kafka (Apache Kafka) #HDFS (Hadoop Distributed File System) #YARN (Yet Another Resource Negotiator) #Java #Cloud
Role description
Role: Data Engineer (Spark, Hadoop)
Location: Berkeley Heights, NJ (Onsite)
Job Type: Long Term Contract
Job 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.
Thanks & Regards
Himanshu Verma | Recruiter – US Staffing
Email: Himanshu.v@ampstek.com | Desk: (609)-527-8914
LinkedIn: https://www.linkedin.com/in/hv2026/
Ampstek LLC – Global IT Partner | www.ampstek.com
Role: Data Engineer (Spark, Hadoop)
Location: Berkeley Heights, NJ (Onsite)
Job Type: Long Term Contract
Job 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.
Thanks & Regards
Himanshu Verma | Recruiter – US Staffing
Email: Himanshu.v@ampstek.com | Desk: (609)-527-8914
LinkedIn: https://www.linkedin.com/in/hv2026/
Ampstek LLC – Global IT Partner | www.ampstek.com
