Azure Data Engineer

Job Title: Azure Data Engineer

Location: Multiple Locations

Qualifications & Experience:

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent practical experience in data engineering and cloud technologies.
• 3 6 years of experience in Data Engineering, Azure Data Engineering, ETL/ELT development, or related roles.
• Strong hands-on experience with Azure Data Factory (ADF) for developing, orchestrating, scheduling, and monitoring data pipelines.
• Strong experience with Azure Databricks for data processing, transformation, and analytics workloads.
• Hands-on experience with PySpark for large-scale data processing and distributed data transformations.
• Strong proficiency in Python for data engineering, scripting, and automation.
• Experience with Git and version control practices for collaborative development and code management.
• Experience designing and developing scalable data pipelines and implementing data transformation processes.
• Strong understanding of data integration, ETL/ELT concepts, data processing, and cloud-based data engineering practices.
• Excellent problem-solving skills with strong attention to detail and the ability to troubleshoot data pipeline and processing issues.
• Strong communication and collaboration skills with the ability to work effectively with technical and cross-functional teams.

Key Responsibilities:

• Provide onsite desktop and field services support for hardware, Windows OS, applications, and endpoint-related incidents.
• Administer endpoint management tools to deploy software packages, patches, configurations, and security policies.
• Perform desktop and endpoint patching, monitor compliance, and remediate failed or missing patches.
• Support desktop imaging, configuration baselines, workstation standardization, and endpoint security.
• Troubleshoot escalated incidents, perform root cause analysis, and implement long-term solutions.
• Monitor endpoint health and collaborate with Service Desk, Network, Application, Security, and Infrastructure teams.
• Maintain technical documentation and support asset/inventory management activities.