Design and implement cloud-native data architectures on AWS, including data lakes, data warehouses, and streaming pipelines using services like S3, Glue, Redshift, Athena, EMR, Lake Formation, and Kinesis. Develop and orchestrate ETL/ELT pipelines Required Candidate profile Participate in pre-sales and consulting activities such as: Engaging with clients to gather requirements and propose AWS-based data engineering solutions. Supporting RFPs/RFIs, technical proposals

The ideal candidate should quickly grasp and navigate complex systems built on .NET, Azure, ASP.NET, and Angular. This hands-on role requires collaboration with the Application Development Manager, an agile mindset, adaptability, and ownership.