

Java Hadoop Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Java Hadoop Developer with 5+ years of experience in Java and the Hadoop ecosystem. Contract length is long-term, located in hybrid Jacksonville, FL. Key skills include Hadoop, Spark, ETL tools, and data integration expertise.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Jacksonville, FL
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Quality #Big Data #Data Processing #HDFS (Hadoop Distributed File System) #Hibernate #Talend #Java #Hadoop #Spark (Apache Spark) #HBase #Storage #Programming #Data Storage #Informatica #Scala
Role description
Java Hadoop Developer
Hybrid-Jacksonville, FL
Long Term
Job Details
β’ 5+ years of experience in Java and Hadoop ecosystem (HDFS, Spark, Hive, etc.)
β’ Strong expertise in Java and Hadoop development, including data processing, data
integration, and data analytics
β’ Experience with Spark (Scala/Java) and experience with Spark-based data processing
frameworks
β’ Proficiency in Java programming language and experience with Java-based frameworks (e.g.,
c, Hibernate)
β’ Experience with Hadoop-based data storage solutions (e.g., HDFS, HBase)
β’ Familiarity with data warehousing concepts and ETL tools (e.g., Informatica, Talend)
β’ Proven experience in designing and developing big data solutions, preferably with Hadoop
and Spark.
β’ Experience with data processing, integration, and reconciliation, including data quality and
validation.
β’ Excellent collaboration and commun
Java Hadoop Developer
Hybrid-Jacksonville, FL
Long Term
Job Details
β’ 5+ years of experience in Java and Hadoop ecosystem (HDFS, Spark, Hive, etc.)
β’ Strong expertise in Java and Hadoop development, including data processing, data
integration, and data analytics
β’ Experience with Spark (Scala/Java) and experience with Spark-based data processing
frameworks
β’ Proficiency in Java programming language and experience with Java-based frameworks (e.g.,
c, Hibernate)
β’ Experience with Hadoop-based data storage solutions (e.g., HDFS, HBase)
β’ Familiarity with data warehousing concepts and ETL tools (e.g., Informatica, Talend)
β’ Proven experience in designing and developing big data solutions, preferably with Hadoop
and Spark.
β’ Experience with data processing, integration, and reconciliation, including data quality and
validation.
β’ Excellent collaboration and commun