Job description

Please check the JD below: Role 1: Azure Data Engineer Role 2: Lead Azure Data Engineer Location: Minneapolis, MN (Hybrid/Onsite as required) Client: US Bank (through Implementation) Job Summary We are seeking a skilled Azure Data Engineer with strong expertise in ETL development, Python, and PySpark to design, build, and optimize scalable data pipelines on the Azure cloud platform. The ideal candidate will bring hands-on experience in data engineering, modern cloud architectures, and coding best practices to support analytics and business intelligence initiatives. Key Responsibilities • Design, develop, and maintain ETL/ELT pipelines on Azure Data Services (Azure Data Factory, Synapse, Databricks, Data Lake). • Write clean, efficient, and scalable code using Python and PySpark for data ingestion, transformation, and processing. • Build and optimize data models for analytics, BI, and reporting use cases. • Implement data quality, lineage, and governance frameworks within Azure environments. • Collaborate with business stakeholders, analysts, and data scientists to deliver high-quality datasets and solutions. • Troubleshoot and optimize pipelines for performance, scalability, and cost-efficiency. • Ensure adherence to security, compliance, and best practices in Azure data engineering. Required Qualifications • 5+ years of experience as a Data Engineer with strong ETL design and development background. • Hands-on expertise with Azure Data Factory, Azure Synapse, Azure Databricks, and Data Lake. • Strong proficiency in Python and PySpark for large-scale data processing. • Solid SQL knowledge and experience with relational and NoSQL databases. • Experience in data modeling and building data warehouse/lakehouse solutions. • Strong problem-solving, debugging, and performance optimization skills. Preferred Qualifications • Experience in the BFSI or Wealth Management domain. • Azure Certification (Azure Data Engineer Associate, Azure Solutions Architect, or equivalent). • Familiarity with DevOps and CI/CD pipelines for data workflows. • Knowledge of BI tools like Power BI, Tableau, or Looker. Education • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. CST provides its clients with complete, cost-effective, end-to-end personnel solutions across a range of industrial domains. CST's mission is to empower businesses around the world to make better, faster operational decisions.

Requirements