Azure Data Engineer (Fincancial / Banking domain) - Jersey City, NJ - W2 candidates

Overview

On Site
Full Time
Contract - W2
Contract - 2 day((s))

Skills

databricks
Azure Data Lake
Azure Data Factory
ADF
ADLS

Job Details

Job Title: Azure Data Engineer (Banking or Financial domain experience)

Location: Jersey City, NJ (Hybrid 2 Days Onsite only)

Job Type: Full-Time position

Job Description:

We are seeking a highly skilled Azure Data Engineer to join our data engineering team for a long-term project in Jersey City, NJ. This hybrid role requires working onsite 2 days per week, collaborating with cross-functional teams to build scalable data pipelines and deploy robust Azure-based data solutions. The ideal candidate will have strong experience in Azure Data Factory, Databricks, and Azure Data Lake, with proven ability to build and optimize real-time and batch data pipelines.

Responsibilities:

  • Build large-scale batch and real-time data pipelines using Azure cloud platform technologies.
  • Design and implement high-performance data ingestion pipelines from multiple structured and unstructured sources using Azure Databricks.
  • Lead the design and development of ETL, data integration, and migration solutions.
  • Develop scalable and reusable frameworks for ingestion, processing, and transformation of data sets.
  • Partner with data architects, analysts, engineers, and stakeholders to deploy enterprise-grade data platforms.
  • Integrate end-to-end data pipelines - from source systems to target data repositories - ensuring high data quality, reliability, and consistency.
  • Work with event-driven and streaming technologies for real-time data ingestion and processing.
  • Support related project components including API integrations and search services.
  • Evaluate tools and platforms based on performance and business requirements.

Required Skills:

  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake Storage (ADLS)
  • Azure SQL Database and Data Warehouse

Proven hands-on expertise in:

  • Implementing and optimizing Azure cloud data solutions
  • Performance tuning in Databricks environment
  • SQL, T-SQL, and/or PL/SQL

Working knowledge of:

  • Azure Storage Accounts
  • Azure Data Catalog, Azure Data Analytics
  • Logic Apps and Function Apps
  • Familiarity with Agile methodology and tools like JIRA
  • Experience handling end-to-end data ingestion projects in an Azure environment is preferred

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