Azure Data Engineer (W2 Only - Need Locals)

Position: Azure Data Engineer

Location: San Antonio, TX & Findlay, Ohio (Need Locals)

Duration: 12 Months (Long-Term Contract)

Experience: 12 Years/ Data Engineering: 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