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Common Data Engineer title, metro location, 3+ years, and broad Azure/Databricks skillset make competition high.
Requires Azure, Databricks and SAP Data Services in a manufacturing context, making cross-industry fit moderately sensitive.
Multiple mandatory Azure/Databricks/SQL/SAP Data Services requirements plus 3+ years increase screening strictness to high.
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Design, code, and test scalable data management solutions including data acquisition, integration, and transformation pipelines using Microsoft Azure PaaS tools and DevOps methodologies.
Architect data structures and pipelines to enable 'Data as a Service,' ensuring scalability, reliability, and performance across teams.
Manage DevOps pipelines for CI/CD and implement containerization models to support scalable deployments in cloud and edge environments.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field.
Proficiency with Azure data management technologies: Azure ADF, ADLS, Databricks, SQL, SAP Data Services, and tabular models.
Experience with DevOps practices, CI/CD tools (Jenkins, GitLab), containerization, and server-side architectures.
Work Experience Required: Minimum 3+ years experience working with business stakeholders to translate data into actionable insights.
Experienced in full software development lifecycle and Agile methodologies with ability to manage multiple projects simultaneously.
Skilled in collaborating with technical leads, analysts, architects, and product owners to define requirements and deliver high-quality data solutions.
Ability to work effectively within hybrid work settings and adapt quickly to evolving data technologies and enterprise environments.