Azure Data Engineer with Investment Banking || Hybrid onsite || Weehawken NJ

We are currently looking to hire a [Azure Data Engineer] and we believe your skills and expertise are a better match for this role.

We are seeking an experienced and outstanding for one of our esteemed clients. Kindly have a look at the below JD and reach us with your updated & best time to connect.

Role: Azure Data Engineer with Investment banking

Location: Hybrid onsite - (Weehawken NJ )

Duration: Long-term

Responsibilities:

• Design, develop, and maintain scalable data pipelines, ETL processes, and data lake solutions on Azure Data Platform.

• Work with stakeholders including traders, risk analysts, compliance, and portfolio managers to understand data needs and deliver robust data solutions.

• Build and manage data ingestion pipelines using Azure Data Factory, Databricks, Synapse Analytics, Event Hubs, Delta Lake, etc.

• Develop and optimize SQL-based and PySpark-based ETL jobs for large-scale structured and unstructured financial datasets.

• Implement data modeling, data warehousing, and data governance best practices aligned with financial industry standards.

• Integrate market data feeds such as Bloomberg, Reuters, ICE, and internal trade data systems.

• Ensure data security, lineage, monitoring, and auditing mechanisms are in place, adhering to regulatory and compliance needs.

• Collaborate with DevOps teams to automate data workflows and deployment processes using tools like Azure DevOps, Terraform, Git.

• Monitor and optimize data performance and cost usage of Azure resources.

Required Skills & Qualifications:

• 13+ years of experience in Azure-based data engineering.

• Strong hands-on experience with Azure components:

  • Azure Data Factory

  • Azure Synapse Analytics

  • Azure Databricks

  • Azure Blob Storage / Data Lake Gen2

  • Azure SQL / Cosmos DB / Event Hub

• Proficient in SQL, Python, and PySpark for data transformation and analytics.

• Sound understanding of investment banking processes, including trade lifecycle, risk and compliance, market data, equity/fixed income products, etc.

• Experience working with large datasets, real-time data ingestion, and streaming architectures.

• Familiarity with regulatory requirements like MiFID II, Basel, Dodd-Frank, etc., is a plus.

• Good understanding of CI/CD practices and infrastructure as code for data projects.

• Excellent communication skills and ability to work in a fast-paced, global financial environment.

NJTECH is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

NJTECH is a globally managed IT service, IT consulting and Business solutions partner. Our "High Performance Business" strategy builds our expertise in technology and consulting. Our offshore consulting plays a major role in helping clients to achieve their objectives in the highest level; ultimately creating sustainable value to customers. Come, transform your career with us and be a part of our high-performing team.

Regards,

Aaran D