Functional ------------ * Architect and design solutions to meet functional and non-functional requirements over Azure Cloud. * Design and implement effective database solutions and data models to store and retrieve data. * Experienced with data warehousing concepts to design a dimensional model which can support a good analytical solution. * Experience in Databricks spark python language to guide on engineering methods, standards to build an optimized solution to process and curate the data. * Following security guidelines to develop secure and compliant Cloud services by working with Risk and Security team. * Support client in performing POC (Proof of Concepts), define success criteria for POCs. * Delivered DataOps, Data Engineering and MLOps topics. Technical ---------- OS : Linux, Win DB : Oracle, SQL Server. Data Engineering : Azure Datafactory, Databricks, ADLS2, Azure SQL , Snowflake. DevOps : Azure DevOps, Docker , Ansible, Kubernetes. Reporting Tools : SAS Visual Analytics . Tools : JIRA, Confluence . ETL : SAS Date Integration