MINIMUM REQUIREMENTS/QUALIFICATIONS:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• 3+ years of experience in data engineering within the Azure space
• Ample experience with ETL tools including SSIS, Informatica, DataStage, or similar tools.
• Ability to build and maintain scalable and secure Operational Data Stores, Data Marts, Data Warehouses, Data Lakes, Lake Houses.
• Extensive background with SQL and Python and/or Spark for data transformation and automation
• Ample experience with Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lakes, Azure SQL, Azure RBAC, and Azure DevOps preferred
• Any experience with emerging technologies such as machine learning and artificial intelligence, preferred

• Create and implement various data solutions to maintain architectures within the Azure space
• Create data models and schemas that support analytics, reporting, and future AI/ML initiatives.
• Design and implement efficient ETL/ELT pipelines for structured and semi-structured data from multiple sources.
• Build and maintain CI/CD pipelines and robust ETL/ELT processes for data
• Monitor data quality processes to ensure accuracy, consistency, and reliability
• Analyze and understand business user requirements to effectively develop solutions that meet business needs.
• Implement data governance frameworks to ensure data quality, security, and compliance .