Vacancy expired!
- Must-haves:
- Azure specific skill sets on analytics side, the more the better
- Data Factory, Synapse, Data Lakes,
- Tableau/Azure
- Data Integrations/Data Ingestions
- MS SQL Server
- If "senior", must have data architecture/data modeling
- Bachelor's degree or Master's degree from an accredited college/university in Data Science, Computer Science, Computer Engineering, Information Systems or a related discipline.
- 7+ years of experience in Information Technology within a medium to large enterprise with complex business and IT environment.
- 5+ years of experience as a Data Engineer/Data Architect working with cross-functional teams (within IT and/or Business) and leading technical resources on enterprise level business intelligence/data analytics implementations using Azure cloud-based analytics platforms/technologies (including hands-on experience with Microsoft/Azure stack, e.g., Synapse, Data Factory, Data Bricks, Data Lake, Data Catalog, SSIS, SQL, etc., and NoSQL databases).
- 5+ years of hands-on experience in architecting, designing, implementing and maintaining data ingestion/integration and end-to-end data pipeline using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).
- 3+ years of experience working with and developing database designs (logical and physical) and data models (normalized and dimensional) for data warehouse, data marts and operational data stores.
- 3+ years of hands-on experience working with data science programming languages (e.g., SQL, Python, R, Scala, SAS).
Vacancy expired!