Job Description

Role: Azure Data Engineer
Location: NYC NY Hybrid only local candidates NJ/NY
Duration: Long term contract

Must have strong investment banking background, Python, Azure SQL, Postgress, Databricks, ADF, Terraform

Description

We are seeking a highly skilled Azure Data Engineer with a strong background in investment banking to join our dynamic team. In this role, you will play a critical part in managing and optimizing our data architecture and data pipelines, leveraging your expertise in Azure technologies. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data solutions that support our investment banking operations. You will work closely with cross-functional teams to understand their data needs, gather requirements, and translate them into technical specifications. Your proficiency in Python, SQL, and PostgreSQL will be essential in creating robust data solutions that ensure data accuracy, integrity, and availability. Additionally, familiarity with Databricks, Azure Data Factory (ADF), and Terraform will be crucial as you deploy and manage data applications in the cloud. This position demands a proactive individual who is adept at problem-solving and is passionate about data engineering, nurturing an environment that fosters innovation and improvement within our organization. If you are looking to leverage your skills in a fast-paced banking environment and drive significant impact, we encourage you to apply and explore this exciting opportunity.

• Design, develop, and maintain scalable data pipelines using Azure technologies.
• Collaborate with cross-functional teams to gather and analyze data requirements.
• Implement data models and architecture for optimal performance in investment banking applications.
• Utilize Python to develop scripts for data processing and analytics.
• Write efficient SQL queries to extract, transform, and load (ETL) data from various sources into PostgreSQL.
• Manage and optimize data storage solutions in Azure, ensuring data security and compliance.
• Deploy and configure data integration workflows using Azure Data Factory and Databricks.

• Proven experience as a Data Engineer, preferably in the banking or financial services sector.
• Strong proficiency in Python, with practical experience in data manipulation and analysis.
• Solid understanding of SQL and experience with PostgreSQL for managing relational databases.
• Hands-on experience with Azure Data Factory (ADF) and Databricks.
• Familiarity with Terraform for managing cloud infrastructure as code.
• Excellent problem-solving skills with the ability to communicate technical concepts to non-technical stakeholders.

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