Data Engineer (Python, Java, Azure)

This role is for a Data Engineer (Python, Java, Azure) with a contract length of "unknown" and a pay rate of "$X/hour". Requires 7+ years in data pipelines, 2+ years in Azure, and a Bachelor's in Computer Science.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 17, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Secaucus, NJ
🧠 - Skills detailed
#DevOps #Data Warehouse #Cloud #Python #Scrum #Agile #SQL (Structured Query Language) #Data Lake #Azure cloud #Data Pipeline #Containers #ADF (Azure Data Factory) #Big Data #Docker #Java #Computer Science #Data Mart #Hadoop #SQL Server #Azure Data Factory #Linux #Azure #Data Engineering #Data Analysis #Spark (Apache Spark) #Jira #Data Processing
Role description
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Data Engineer (Python, Java, Azure)

Must Have:
• 7+ years of experience in building out data pipelines in Python or Java
• 2+ years of experience working in Azure Cloud Service
• Experience with data processing platform, such as Azure Data Factory
• Experience with data lake/data marts/data warehouse
• Experience with transactional database engines, such as SQL server
• Fluent with SQL for data analysis
• Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
• Exposure working in an Agile environment with Scrum Master/Product owner and ability to deliver
• Bachelor's degree Computer Science or a related field.

Nice to Have:
• Experience with Spark
• Experience working in Hadoop or other Big data platforms
• Exposure to deploying code through pipeline
• Good exposure to Containers like ECS or Docker
• Working experience in a Linux based environment
• Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income
• Knowledge of Jira, Confluence, SAFe development methodology & DevOps