Skills and Knowledge : Candidate must also possess: Demonstrated Expertise (“DE”) creating enterprise data lakes used for analytics, Artificial Intelligence (AI), and Machine Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing techniques and solutions – Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python, Informatica, Azure Data Factory, or AWS services. DE designing, developing, and supporting data driven solutions and data warehouses, using Snowflake, AWS, Microsoft Azure, Python, or Azure Data Factory; creating data visualization using BI Reporting tools -- Tableau or Microsoft Power BI; deploying code changes using Continuous Integration/Continuous Delivery (CI/CD) tools – GitHub or Azure Pipelines; and establishing data governance, cataloging, and change management practices using Alation or Collibra.