eTeam
Hadoop Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hadoop Developer in Northampton, lasting until 31/12/2026, with a pay rate of "unknown." Requires expertise in Hadoop, Spark, Scala/Python, and experience with ETL processes, HDFS, and cloud solutions (AWS, GCP, Azure). Hybrid work model.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Northampton, England, United Kingdom
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🧠 - Skills detailed
#Python #Data Ingestion #GCP (Google Cloud Platform) #Spark (Apache Spark) #HBase #Kafka (Apache Kafka) #Security #Storage #Big Data #Cloud #Azure #Sqoop (Apache Sqoop) #Documentation #AWS (Amazon Web Services) #Java #Data Pipeline #Pig #Data Science #Scala #HDFS (Hadoop Distributed File System) #Hadoop #Compliance #Data Security #"ETL (Extract #Transform #Load)"
Role description
Role Title: Hadoop(Spark/Scala) Developer
Location: Northampton
Duration: 31/12/2026
Days on site: 2-3
Role Description:
• In general, the resource should be able to comfortably debug and develop Spark jobs in Scala.
• Alternatively, comfortability in Java Bigdata development and exposure is acceptable.
• Python is also nice to have.
• Looking for Hadoop, Spark, Scala / Python developer.
• Candidate should be conversant with concept of Hadoop core (Mapreduce), Hive, Pig HBase
Key Responsibilities:
• Design and develop Hadoop-based applications and data pipelines.
• Build, operate, monitor, and troubleshoot Hadoop clusters.
• Write scalable ETL processes using tools like Hive, Pig, and Spark.
• Develop and maintain data ingestion processes using Sqoop, Flume, or Kafka.
• Optimize MapReduce jobs and manage HDFS storage.
• Collaborate with data scientists and analysts to support data needs.
• Ensure data security and compliance with organizational policies.
• Create and maintain technical documentation and playbooks.
• Evaluate and integrate cloud-based big data solutions (AWS, GCP, Azure).
Role Title: Hadoop(Spark/Scala) Developer
Location: Northampton
Duration: 31/12/2026
Days on site: 2-3
Role Description:
• In general, the resource should be able to comfortably debug and develop Spark jobs in Scala.
• Alternatively, comfortability in Java Bigdata development and exposure is acceptable.
• Python is also nice to have.
• Looking for Hadoop, Spark, Scala / Python developer.
• Candidate should be conversant with concept of Hadoop core (Mapreduce), Hive, Pig HBase
Key Responsibilities:
• Design and develop Hadoop-based applications and data pipelines.
• Build, operate, monitor, and troubleshoot Hadoop clusters.
• Write scalable ETL processes using tools like Hive, Pig, and Spark.
• Develop and maintain data ingestion processes using Sqoop, Flume, or Kafka.
• Optimize MapReduce jobs and manage HDFS storage.
• Collaborate with data scientists and analysts to support data needs.
• Ensure data security and compliance with organizational policies.
• Create and maintain technical documentation and playbooks.
• Evaluate and integrate cloud-based big data solutions (AWS, GCP, Azure).
