Mid-Level Hadoop Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Hadoop Developer on a contract basis, requiring expertise in Hadoop, Spark, AWS, and ETL tools. Pay rate is competitive. Location is unspecified. Key skills include Python, Java, and Scala.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 8, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Woodbridge, NJ
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🧠 - Skills detailed
#Python #Java #Hadoop #"ETL (Extract #Transform #Load)" #Data Engineering #AWS (Amazon Web Services) #Airflow #Data Lake #Jenkins #Scala #Spark (Apache Spark) #Big Data #Cloud #PySpark
Role description
Verified Job On Employer Career Site Job Summary: Apex Systems is the 2nd largest IT staffing agency in the country, offering a range of career resources and benefits. They are seeking a Data Engineer (Hadoop) to design and optimize scalable data solutions using technologies like Hadoop, Spark, and AWS, while collaborating with cross-functional teams to support real-time streaming and data lake initiatives. Responsibilities: β€’ As a Big Data Engineer, you’ll play a key role in designing and optimizing scalable data solutions using technologies like Hadoop, Spark, and AWS. β€’ You’ll work hands-on with ETL tools such as Glue and PySpark to transform and migrate structured and unstructured data across cloud platforms, supporting real-time streaming and data lake initiatives. β€’ Your day-to-day will involve writing clean, efficient code in Python, Java, and Scala, collaborating with cross-functional teams, and automating workflows using CI/CD tools like Jenkins and Airflow. Qualifications: Required: β€’ SPARK/SCALA β€’ JAVA β€’ PYSPARK/PYTHON β€’ HADOOP/HIVE β€’ AWS Company: Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce. Founded in 1995, the company is headquartered in Richmond, Virginia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.