Bachelor’s degree in computer science, Software Engineering, MIS, or an equivalent combination of education and experience.
Experience implementing and supporting data lakes, data warehouses, and data applications on AWS or Microsoft Azure for large enterprises (Fabric is plus)
Programming experience with Python, Spark and SQL.
Experience with Microsoft Azure services, specifically Data Factory, ADLS Gen2, Synapse Analytics, and Synapse Database, KQL.
Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS or Azure.
Solid experience implementing solutions on AWS or Azure-based data lakes (preferred).
Knowledge of ETL/ELT processes.
Experience with end-to-end data solutions (ingest, storage, integration, processing, access) on AWS or Azure (preferred).
Architect and implement CI/CD strategies for EDP.
Implement high-velocity streaming solutions.
Migrate data from traditional relational database systems, onprem to Azure technologies (preferably in Onelake using Fabric technologies - (preferred).
Develop data-based APIs
Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-cases.
Any Cloud Certification preferred (Azure / AWS preferred)
Knowledge of Microsoft Fabric technology focusing on cost and security considerations.