Azure Data Engineer

Azure Data Engineer Cloud & Data Engineer with hands-on experience deploying and administering Azure resources, including compute, networking, storage, security, and monitoring components. Proven ability to automate cloud provisioning using Terraform, ARM templates, Azure DevOps, GitHub Actions, and Jenkins to improve deployment speed and reliability. Experienced in designing and building distributed data pipelines using ADF, ADLS Gen2, Azure SQL, Synapse, Event Hubs, and Stream Analytics. Strong background in Databricks administration and PySpark development, delivering high-performance ELT pipelines, Delta Lake solutions, and workspace governance. Familiar with ML Ops frameworks, Azure Machine Learning (AML), MCP servers, and enterprise AI Search integration for production-grade AI workloads. Strong command of Python, PySpark, and SQL performance tuning for large-scale data processing and analytics workloads. Responsibilities Identify, Clarify, Analyze and Confirm any requests for data sourcing or data changes for our ETL pipelines. Ensure that the requirements are clear, edge cases are considered, and impact of the changes are understood. Effectively manage our backlog prioritized and is a clear reflection of what the team is currently working on. Assist and support the developers from intake, to development, testing, and release of new features. Liaise between our Stakeholder, Product Owners, and upstream source systems. Ensure our documentation and our runbooks are up to date. Keep up to date with the latest industry trends and technologies related to data engineering Preferred Qualifications 8+ years of relevant experience in a related field of job function. Azure certified, Databricks certified Experience with Jira, Confluence. Experience with APIs, SQL. Kasmo Global