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Remote mid-level Azure data engineer role at a known employer; popular, generalist profile draws many applicants.
Requires Azure PaaS data engineering and migration expertise, limiting transferability across industries.
Explicit 5+ years and Azure-specific toolset plus migration experience create strict filtering criteria.
Own design and execution of large-scale data migration from Mainframe to Azure Cloud PaaS ensuring minimal business disruption.
Build, optimize, and support scalable and secure Azure data pipelines using services like Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
Collaborate with architects and business teams to implement cloud-native data architectures, enforce governance, and support operational excellence.
Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
5+ years of experience in Data Engineering with at least 3 years hands-on Azure Cloud experience.
Strong expertise in Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage Gen2.
Experience with large-scale data migration or modernization projects from legacy systems to Azure.
Experienced in cloud-native data architectures and enterprise-scale Azure environments focused on performance, scalability, and cost optimization.
Skilled in collaborating across cross-functional teams including architects, business analysts, and application teams during modernization initiatives.
Strong technical proficiency in SQL, ETL/ELT pipeline development, cloud security governance, and CI/CD DevOps practices.