We are seeking a skilled and motivated Implementation Engineer with hands-on experience in AWS AI / ML solutions and Microsoft Data Fabric. The role focuses on deploying, integrating, and supporting AI / ML workflows on AWS and data modernization initiatives using Microsoft's Data Fabric platforms.
Key Responsibilities :
- Design, implement, and support AWS AI / ML pipelines and solutions.
- Deploy and configure Microsoft Data Fabric components, including data ingestion, transformation, and visualization tools.
- Integrate multi-cloud and on-premises data sources into a unified architecture.
- Automate data workflows using AWS services and Microsoft Fabric Dataflows.
- Ensure successful delivery.
- Ensure security, governance, and scalability of deployed solutions.
- Provide documentation, knowledge transfer, and operational support.
Required Skills :
Experience in AWS AI / ML services (e.g., Sage Maker, Glue, Kinesis, Lambda).Hands-on with Microsoft Fabric or related Azure data services (e.g., Synapse, Data Factory, Power BI).Strong knowledge of data integration, ETL / ELT, and data pipelines.Familiarity with data security, governance, and cloud best practices.Basic programming skills in Python, SQL, or similar.Preferred Qualifications :
AWS Certified Machine Learning or AWS Certified Data Analytics.Microsoft Certified : Azure Data Engineer or equivalent.Experience with multi-cloud or hybrid data environments.