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Senior MLOps Technical Specialist - DevOps, Python - HCLTech
Software Engineer
Senior specialist responsible for designing, building, and operating scalable data pipelines on Microsoft Azure, leveraging Azure Data Factory, Synapse, Databricks, and Python while implementing DevOps best practices.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines using Azure Data Factory, Synapse Analytics, and Azure Databricks.
- Build and optimize data models in Azure SQL and Synapse to support BI, reporting, and advanced analytics.
- Implement CI/CD pipelines, automated testing, and monitoring to ensure reliable MLOps workflows.
- Collaborate with data scientists, analysts, and engineering teams to ingest, transform, and serve data for machine‑learning and analytics use cases.
- Maintain data security, governance, and performance standards across Azure services.
Requirements
- 5+ years of experience in data engineering or MLOps on Microsoft Azure.
- Strong hands‑on expertise with Azure Data Factory, Synapse Analytics, Azure Databricks, and Azure SQL.
- Proficiency in Python for data processing, orchestration, and automation.
- Solid understanding of DevOps practices, including CI/CD, version control (Git), and infrastructure as code.
- Experience designing scalable data models and optimizing data pipelines for performance and cost.