Position: Azure Data Engineer Location: Findlay, Ohio (Need Local) Duration: 12+ Months (Long-Term Contract) Experience: 12+ Years/ Data Engineer: 10+ Years Job description • Must have strong experience with SQL, data modeling, data warehouse and medallion architecture as a data engineer • Must have strong experience building data products using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Spark Pools, Databricks Notebooks, CDC tools, Python, DevOps, CI/CD • Familiarity with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin or ER Studio) is a plus • Familiarity with data lake/warehouse medallion architecture and concepts of Unified Data Models • Strong hands-on experience with ingesting data from a variety of structured (Databases, Flat Files, SharePoint) and unstructured, on-premises and SaaS (API based ETL) sources is a must • Understanding of SAP and Microsoft Dynamics 365 as a source for ingestion is a huge plus • Strong problem-solving skills as it relates to data ingestion, modeling, validation is a must • Strong communications skills and ability to interact with technical and non-technical business stakeholders is a must • Working experience and exposure to visualization tools such as Microsoft PowerBI, Tableau desired. • Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus • Experience with Microsoft SSIS, SSRS, SSAS is a plus • Experience with ServiceNow, Azure DevOps, ADO is a plus EDUCATION AND EXPERIENCE: • Bachelor’s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related field. • Minimum 10+ years of solid hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions • Experience in scaled agile framework for data engineering product delivery • Microsoft Azure certifications in various analytics technologies is a plus