MINIMUM REQUIREMENTS/QUALIFICATIONS:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• 5+ years of experience in developing and maintaining data processing and reporting applications.
• 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.
• Strong working background with SQL Server for performance tuning and database design.
• Proven working experience with Power BI, Tableau, Domo, Infor Birst, etc.
• Any experience with emerging technologies such as machine learning and artificial intelligence, preferred
• Data quality management and master data management, including tools such as Talend or Informatica, preferred

• Create and manage infrastructure including databases, data warehouses, data lakes, etc.
• Create data models and schemas that support analytics, reporting, and future AI/ML initiatives.
• Guide implementation of modern data engineering tools and frameworks such as Azure Data Factory and Databricks
• Design and implement efficient ETL/ELT pipelines for structured and semi-structured data from multiple sources.
• Utilize CI/CD pipelines to deploy solutions to target environments.
• 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 .