Big Data Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Developer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 4+ years in Big Data Engineering, proficiency in Hadoop, PySpark, Python, and AWS S3, along with data modeling experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
376
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Chandler, AZ
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🧠 - Skills detailed
#Shell Scripting #Unix #AWS S3 (Amazon Simple Storage Service) #Dremio #AWS (Amazon Web Services) #Python #Data Pipeline #Automation #PySpark #Data Modeling #S3 (Amazon Simple Storage Service) #Cloud #Storage #Database Design #Hadoop #MySQL #Scripting #GCP (Google Cloud Platform) #Spark (Apache Spark) #Scala #Big Data #Data Engineering
Role description
Job Description:
Client is hiring a Big Data Engineer to design, build, and maintain scalable data pipelines. The role involves data modeling, pipeline automation, and integration with cloud and reporting tools.
Must Have Skills:
• 4+ years in Big Data Engineering
• Hadoop, Hive, PySpark, Python
• AWS S3 (object storage, integration)
• Data modeling & database design (MySQL or similar)
• Autosys job scheduling
• Unix/Shell scripting, CI/CD pipelines
• PowerBI, Dremio
Nice to Have:
• GCP cloud data engineering exposure
• Financial services domain experience
Soft Skills:
• Proactive and accountable
• Strong problem-solving and troubleshooting skills
• Clear communication of technical work
Job Description:
Client is hiring a Big Data Engineer to design, build, and maintain scalable data pipelines. The role involves data modeling, pipeline automation, and integration with cloud and reporting tools.
Must Have Skills:
• 4+ years in Big Data Engineering
• Hadoop, Hive, PySpark, Python
• AWS S3 (object storage, integration)
• Data modeling & database design (MySQL or similar)
• Autosys job scheduling
• Unix/Shell scripting, CI/CD pipelines
• PowerBI, Dremio
Nice to Have:
• GCP cloud data engineering exposure
• Financial services domain experience
Soft Skills:
• Proactive and accountable
• Strong problem-solving and troubleshooting skills
• Clear communication of technical work
