Azure Data Engineer Job at Apptad Inc, Weehawken, NJ

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  • Apptad Inc
  • Weehawken, NJ

Job Description

Job Description:

We are looking for an experienced Azure Data Engineer with a strong background in the banking or financial services domain to design, build, and maintain robust data pipelines and solutions on the Azure cloud platform. The ideal candidate should have hands-on expertise in Azure data services , deep understanding of financial datasets and regulatory data , and strong collaboration skills to work with data scientists, analysts, and business teams.

Key Responsibilities:

  • Design and implement scalable, secure, and high-performance data solutions using Azure Data Factory, Azure Synapse, Azure Data Lake, and Databricks
  • Develop and optimize ETL/ELT pipelines for large-scale structured and unstructured data across banking products (loans, deposits, credit risk, treasury, etc.)
  • Work with stakeholders to understand data requirements, perform data profiling, cleansing, and validation
  • Develop and maintain data models (star/snowflake schemas), data catalogs, and data dictionaries
  • Ensure data integrity, security, lineage, and compliance with banking regulatory standards (e.g., Basel III, BCBS 239, AML/KYC, IFRS)
  • Collaborate with DevOps teams to automate deployments and monitoring of data pipelines
  • Support ad hoc queries, reporting, and integration with BI tools like Power BI
  • Troubleshoot and resolve performance, data quality, and integration issues
  • Mentor junior engineers and participate in code reviews and data governance processes

Required Skills:

  • 10+ years of experience in data engineering or data warehousing
  • 3+ years of hands-on experience with Azure data services :
    • Azure Data Factory
    • Azure Synapse Analytics
    • Azure Data Lake Gen2
    • Azure SQL Database / SQL Managed Instance
    • Databricks / Spark
  • Strong experience in SQL , Python , and PySpark
  • Proven knowledge of banking data models , core banking systems, or risk and compliance datasets
  • Understanding of data governance, data security, and regulatory compliance
  • Familiarity with CI/CD tools and infrastructure-as-code (IaC) like ARM templates, Terraform, or Bicep
  • Experience with version control (Git), Agile/Scrum , and Jira/Confluence

Preferred Qualifications:

  • Experience in data migration or modernization projects in large financial institutions
  • Knowledge of machine learning pipelines and integration with ML services on Azure
  • Certifications such as:
    • Microsoft Certified: Azure Data Engineer Associate
    • Azure Fundamentals
    • Certified Banking Professional (optional) .

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