Job description

Azure Data Engineer job at Apptad Inc. Weehawken, NJ. 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) .

Requirements