Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines; build and optimize Azure-based data platforms; support deployment and operationalization of machine learning models; implement monitoring, logging, troubleshooting, and performance optimization; collaborate with data scientists and engineering teams; develop reusable, automated components following cloud engineering best practices.
- Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines.
- Build and optimize Azure-based data platforms using Databricks, Data Lake, Synapse, and related technologies.
- Support deployment and operationalization of machine learning models through CI/CD and MLOps practices.
- Implement monitoring, logging, troubleshooting, and performance optimization for data and ML workloads.
- Collaborate with data scientists and engineering teams to translate requirements into production-ready solutions.
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities