Found Description
Job Description
- Design, build, and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data from SAP S/4HANA, Oracle, Salesforce, and third-party APIs into enterprise data lakes/lakehouses.
- Develop and optimize data products (medallion architecture) on platforms like Databricks
- Implement data quality, lineage, and governance controls using tools such as Purview, Alation, or Unity Catalog.
- Build, deploy, and monitor ML models (classification, regression, forecasting, anomaly detection) using Python, PySpark, scikit-learn, TensorFlow, or PyTorch.
- Develop GenAI and LLM-powered solutions — including RAG (Retrieval-Augmented Generation) pipelines, embeddings, vector databases (Pinecone, Azure AI Search), and prompt engineering for Copilot/Azure OpenAI/Bedrock.
- Operationalize models through MLOp...