Data Engineer(Localto NC)
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Description
- Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
- Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.
- Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
- Collaborate with business users to define analytical goals and build Power BI-ready datasets.
- Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
- Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.
- Build cross-functional reporting, dashboards, and predictive analytics models
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Skill
Required / Desired
Amount
of Experience
Experience in enterprise data analytics, engineering, and designing complex ETL workflows. Required 7 Years Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing Required 4 Years Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies Required 7 Years Hands-on experience with PySpark, Python, or Scala Required 6 Years Experience with data modeling, performance tuning, and cost optimization in Azure Required 4 Years Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security Required 3 Years Familiarity with Power BI semantic models and dataflows Required 3 Years Knowledge of Azure OpenAI or generative AI data integration Highly desired 3 Years Ability to organize, prioritize, and follow complex and/or detailed technical procedures Required 7 Years Experience with Agile (Scrum, Kanban, or SAFe) development Required 3 Years
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