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Mid-level cloud/data-platform role in metro with common 5+ years requirement increases applicant competition.
Cloud and data platform skills are broadly transferable across industries, though healthcare context adds minor specificity.
Mandatory 5+ years and multiple Azure, Spark, Fabric and Power BI technical requirements increase filtering strictness.
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Own Fabric and PowerBI migration projects, support, and engineering tasks within Azure cloud environments.
Design, build, and optimize data pipelines, datasets, and visualizations using Power BI and Azure big data tools including Databricks, Azure Data Lake, Azure Data Factory, and Synapse.
Manage governance, security, cost optimization, incident/problem management, and collaboration with software developers, data analysts, and data scientists for BI data delivery architecture.
Minimum 5 years experience in Business Intelligence, Data & Report Engineering, or related roles.
Hands-on experience with Spark engineering (PySpark, Spark SQL), Microsoft Fabric operations, PowerBI development, and Azure cloud services.
Experience with DevOps and CI/CD practices.
Preferred education: IT Graduate (BE, BTech, MCA).
Experienced in handling large scale data engineering and data modeling projects in Azure cloud, especially involving Fabric and Power BI.
Skilled in both technical execution and stakeholder communication across onsite and offshore teams.
Ability to manage BI governance, security enforcement, and cost optimization in cloud-based analytics environments.