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Azure Data Engineer

This role is for an Azure Data Engineer with a contract length of "unknown" and a pay rate of "unknown". It requires proficiency in Azure services, SQL, Python or Scala, and experience in the investment management industry. Hybrid work is based in Newark, NJ.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
600
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Newark, NJ
🧠 - Skills detailed
#Azure cloud #Databricks #Apache Spark #Data Science #Data Lake #Spark (Apache Spark) #Data Lakehouse #Computer Science #Data Warehouse #Python #Synapse #Data Engineering #Scala #Azure #SQL (Structured Query Language) #Agile #ADF (Azure Data Factory) #Azure Synapse Analytics #Data Ingestion #Azure SQL Database #Scrum #Data Governance #Data Integrity #Azure Data Factory #Azure SQL #Azure Databricks #Microsoft Power BI #BI (Business Intelligence) #Cloud #Data Pipeline #Compliance #Security
Role description
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This is a right to hire Azure Data Engineer opportunity. Must be able to work on W2. C2C is not possible. Hybrid in Newark, NJ.

We are looking for a skilled Data Engineer with knowledge of emerging trends and practices. You will be responsible for developing, maintaining, and optimizing data pipelines, architectures, and data sets. This role requires working closely with a team of analysts and data scientists to ensure that data solutions are robust, scalable, and aligned with business objectives.

Responsibilities:
• Design and implement highly scalable data ingestion and processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
• Develop and maintain data models and architectures for data warehouses and data lakes in Azure.
• Optimize data retrieval and develop dashboards and reports using Azure Synapse Analytics and Power BI.
• Ensure data integrity and compliance with data governance and security policies using Azure Purview and other security tools.
• Collaborate with stakeholders to gather requirements and provide data-driven insights and solutions.
• Monitor performance and advise on necessary infrastructure changes.

Required Skills:
• Bachelor's degree or above in Computer Science, Engineering, or a related field.
• Previous experience as a Data Engineer or in a similar role is advantageous.
• Strong proficiency with Azure cloud services, including Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks (preferred).
• Experience with SQL and common data science toolkits.
• Proficiency in Python or Scala.
• Strong problem-solving skills and ability to work in a dynamic and agile environment.
• Excellent communication and teamwork skills.
• Knowledge of development methodologies (Agile, Scrum, etc.) is a plus.

What Will Set You Apart:
• Azure Fabric knowledge and exposure
• Apache Spark
• Data Lakehouse
• Investment Management Industry experience within an Insurance domain