Monitor and manage Databricks workspaces across Dev, QA, and Prod environments
Troubleshoot job failures, cluster performance issues, and workspace-level errors
Understand design concepts and architectural fundamentals
Follow and support CI/CD processes for deployments and automation
Translate functional and non-functional requirements into actionable system specifications
Develop and maintain complex scripts/applications as needed for platform operations
Create test cases, scenarios, and validation steps based on specifications
Apply solid knowledge of SDLC and Agile methodologies
Stay current with the latest technologies, tools, and industry trends
Apply strong logical thinking, analytical reasoning, and problem‑solving skills
Collaborate effectively with cross-functional and distributed teams
Maintain general working knowledge of Azure DevOps and related operational processes
Execute quality processes, estimation methods, and documentation activities
Maintain fundamental understanding of the project domain and data lifecycle

3+ years of hands‑on software development or platform engineering experience
Bachelor's Degree in technical discipline (Math’s, Science, Engineering, Computing, etc.)
Strong understanding of system design principles and architectural basics
Experience working with CI/CD processes and DevOps workflows
Knowledge of CI/CD process
Ability to convert functional and non-functional requirements into technical solutions
Experience developing or modifying moderately complex applications or automation scripts
Ability to design test cases and scenarios from specifications
In‑depth understanding of SDLC and Agile practices
Awareness of the latest cloud and data engineering technologies
General working knowledge of Azure DevOps

Senior Azure Data Engineer

Key skills