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Azure Data Engineer
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Über
This role is more on the engineering Cloud space, not looking for someone on the reporting side. Must Haves: Azure Databricks Data Factory Python Hive or Apache Nice to Have: Erwin and Collabra - Data Management tools Key Selection/Criteria - Minimum qualifications include: Bachelor’s degree or equivalent work experience in Computer Science, Management Information Systems (MIS), Information Technology (IT), or related field 2+ 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 preferred Strong analytical skills, detail oriented, and organized Strong communication skills and self-motivated Essential 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 data Collaborate 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 methods Monitor 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-proof Provide 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 areas Support corporate efforts for safety and government compliance Support and follow all corporate policies and procedures Perform other related duties as required and assigned Promote the values of a diverse workforce Required Skills: Azure Databricks Data Factory Python Hive or Apache Basic Qualification: Additional Skills: 100% remote Get to build Azure Cloud environment from the ground up this will be a multi year project (2-3 years) Background Check: Yes Drug Screen: Yes Notes: No subvending please!! US Venture is currently going though an on prem (SQL, SSIS, Power BI, etc.) data migration to Azure and they are looking for Azure Cloud Engineers with the listed must haves (Azure, Databricks, Data factory, Python, Hive/Apache) to help build out their cloud environment. The environment is in infant stages right now so this person will be a part of the team building this from the ground up.
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