- Design and develop scalable ETL/ELT pipelines using Azure Databricks and ADF
- Build and optimize data processing solutions using PySpark, Python, and SQL
- Develop enterprise data models and support Azure Data Lake architectures
- Implement data quality, governance, monitoring, and performance optimization
- Build batch and real-time data processing solutions
- Collaborate with cross-functional teams to deliver data and analytics solutions
- Support AI-ready data platforms and GenAI use cases, including RAG pipelines, vector databases, and Azure OpenAI integrations
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business workplace). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

📌 Azure Data Engineer (Noida)
🏢 Optum
📍 Noida