Sharp Decisions
Azure Data Engineer (Jersey City)
Sharp Decisions, Jersey City, New Jersey, United States, 07390
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.
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.