Data Engineer Azure

Data Engineer IProject began in January 2022, shifting from waterfall to agile methodology. There is no production release yet, this role is to assist a current employee who wears 5 different hats. Release of product will be in a couple months, and team structure will be reassigned. This role is more on the engineering Cloud (Azure Devops) space, not looking for someone on the reporting side. Will focus on migration and building out the Cloud. Senior role would be a plus however open to all levels.The data engineer I is responsible for designing, developing, implementing, and supporting data warehouse and cloud storage solutions that support company analytics.Must Haves:Azure DevOpsDatabricksData FactoryNice to Have:Erwin and Collabra - Data Management toolsInformatica and DataStageKey Selection/Criteria - Minimum qualifications include:Bachelor’s degree or equivalent work experience in Computer Science, Management Information Systems (MIS), Information Technology (IT), or related field2+ years of experience in Structured Query Language (SQL) programming. Preferred experience other programming languages.2+ Experience with cloud services (AWS, Azure (preferred), Google Cloud)Familiarity with business intelligence tools such as Power BI, Tableau, MicroStrategy, Business Objects, DAX, and Power Query preferredStrong analytical skills, detail oriented, and organizedStrong communication skills and self-motivatedEssential Job Functions:Consult with business counterparts to understand new data requirements. Design data models to support the requirements.Data profiling and source system analysis to present insights to peers and business partners to support the end use of dataCollaborate with senior engineers and architects to ensure data models fit within the company data and systems architecture.Develop, test, and implement Extraction, Transform and Load (ETL) processes to acquire and load data from internal and external sources to the data lake or data warehouse to be used for analytical purposes.Design, build and test data products based on feeds from multiple systems using a range of different storage technologies and/or access methodsMonitor and support ETL jobs. Research poor performing ETL jobs and collaborate with database administers and other resources to improve the overall efficiency and stability of the data warehouse environment.Support and partner with business analytics users by identifying relevant data and delivering views, cubes, models, and other semantic objects to ensure ease of access to data for non-technical individuals.Deliver data solutions in accordance with agreed organizational standards that ensure services are resilient, scalable and future-proofProvide technical and project documentation, utilizing agile project management methodologies.Standard Corporate Duties:Actively pursues personal continuous learning, development of skills and knowledge in job-related technical and professional areasSupport corporate efforts for safety and government complianceSupport and follow all corporate policies and proceduresPerform other related duties as required and assignedPromote the values of a diverse workforceRequired Skills: Azure Databricks Data Factory Basic Qualification: Additional Skills: Background Check: Yes Notes: This role is remote.