Sharp Decisions

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer with 10+ years of experience, based in Jersey City, NJ. Key skills include Azure Data Lake, Synapse, and ETL/ELT workflows. Azure certifications and financial services experience are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Scala #Data Governance #Data Pipeline #Synapse #Python #Databricks #Azure Data Factory #Data Lake #Data Security #Compliance #"ETL (Extract #Transform #Load)" #Azure Databricks #SQL (Structured Query Language) #Azure SQL #Data Architecture #Cloud #Security #Azure #ADF (Azure Data Factory) #Microsoft Azure #Data Engineering
Role description
Title: Senior Azure Data Engineer Client: Major Japanese Bank Experience Level: Senior (10+ Years) Location: Jersey City, NJ Summary: The Senior Azure Data Engineer will design, build, and optimize enterprise data solutions within Microsoft Azure for a major Japanese bank. This role focuses on architecting scalable data pipelines, enhancing data lake environments, and ensuring security, compliance, and data governance best practices. Key Responsibilities: • Develop, maintain, and optimize Azure-based data pipelines and ETL/ELT workflows. • Design and implement Azure Data Lake, Synapse, Databricks, and ADF solutions. • Ensure data security, compliance, lineage, and governance controls. • Partner with architecture, data governance, and business teams to deliver high-quality data solutions. • Troubleshoot performance issues and improve system efficiency. Required Skills: • 10+ years of data engineering experience. • Strong hands-on expertise with Azure Synapse, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL. • Azure certifications strongly preferred. • Strong SQL, Python, and cloud data architecture skills. • Experience in financial services or large enterprise environments preferred.