Description

You will design, build, and maintain data infrastructure and analytics solutions on Azure to support data science workflows.

This role is on-site.

Responsibilities

• Develop and enhance data platform components using Azure Data Lake, Synapse, and Data Factory.
• Integrate machine learning models and build pipelines for data ingestion, training, and deployment.
• Monitor and maintain ML pipelines in Azure Databricks to ensure proper model deployment and updates.
• Translate business requirements from risk, finance, and compliance teams into technical specifications.
• Manage team backlogs, document user stories, and participate in Agile/Scrum sprints.

Required Skills

• 2–4 years of experience in data analytics, data science, or platform operations.
• Hands-on experience with Azure tools: Databricks, Data Factory, or Synapse Analytics.
• Proficiency in SQL and Python within a data platform context.
• Practical understanding of machine learning models, data pipelines, and deployment lifecycles.
• Experience working within Agile/Scrum frameworks.
• Knowledge of Azure Data Lake architecture.
• Ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Power BI or Tableau for dashboarding and reporting.
• Exposure to MLflow, Azure ML, CI/CD, Git, or Terraform.

Key Skills

Education

Any Gradute