Hadoop Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hadoop Developer, hybrid (2 days/week onsite in London or Sheffield), offering competitive pay. Requires 5+ years in Data Engineering, strong Hadoop and Python skills, Apache Spark experience, and knowledge of Apache Airflow.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Hadoop #Data Engineering #Monitoring #Apache Airflow #Spark (Apache Spark) #Python #Apache Spark #Scripting #HDFS (Hadoop Distributed File System) #Airflow
Role description
Hybrid: 2 days/week onsite in either London or Sheffield
Key Skills & Experience Required:
• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Hadoop (HDFS, Hive, etc.).
• Proficient in Python scripting for data transformation and orchestration.
• Working experience with Apache Spark (including Spark Streaming).
• Solid knowledge of Apache Airflow for pipeline orchestration.
• Exposure to infrastructure data analytics or monitoring data is highly preferred.
• Excellent problem-solving and performance tuning skills.
Hybrid: 2 days/week onsite in either London or Sheffield
Key Skills & Experience Required:
• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Hadoop (HDFS, Hive, etc.).
• Proficient in Python scripting for data transformation and orchestration.
• Working experience with Apache Spark (including Spark Streaming).
• Solid knowledge of Apache Airflow for pipeline orchestration.
• Exposure to infrastructure data analytics or monitoring data is highly preferred.
• Excellent problem-solving and performance tuning skills.
