Description

Minimum Qualifications

· Minimum of Bachelor's degree in Computer science, Information systems, or Engineering
·Experience: 7+ years of professional experience in DevOps, with a strong focus on Azure. Knowledge of Data Platforms like Databricks, Data Factory (preferred)
· Proficiency in scripting languages such as Python/PySpark, PowerShell, or Bash
· Experience in automating administrative tasks and workflows
· Knowledge of security best practices and compliance requirements
· Experience with ETL processes, data pipelines, and big data technologies
· Experience with backup and restore procedures for Databricks and Azure services
· Ability to troubleshoot and resolve issues in a timely and efficient manner
· Strong verbal and written communication skills
· Ability to document processes, procedures, and configurations clearly
· Commitment to providing high-quality support to internal/external users and stakeholders
· Ability to understand and address the needs of internal and external customers
· Team player with the ability to work collaboratively with cross-functional teams
· Flexibility to adapt to changing requirements and priorities
· Continuous Learning: Eagerness to learn new technologies and continuously improve skills to stay current in a rapidly evolving field. 

Preferred Qualifications

· Deep understanding of Databricks architecture, features, and best practices
· Experience with Delta Lake and Databricks SQL for advanced data management
· Experience in performance tuning and optimization for both Databricks and Azure environments
· Experience supporting/administering data science and ML workloads in Databricks
· Knowledge of disaster recovery planning and implementation
· Experience integrating Databricks with other data platforms and tools
· Understanding of hybrid and multi-cloud environments
· Experience implementing data protection measures and ensuring regulatory compliance

Key Skills

Education

Any Graduate