About
Role profile description:
- Build data pipelines in MS Azure platform that supports the consumption of structured and unstructured data from various sources with the use of Azure Data Factory and Data Bricks
- Collaborate with cross functional teams to analyze, transform, and model large complex data sets for business insights, operational reporting, and analytics
- Develop data solutions that facilitates re-usability across various business functions
- Develop and support the creation of conceptual, logical, and physical data models
- Lead and support the migration of on-premise data solutions to the MS Azure platform
- Actively contribute and improve our data solutions and best practices
- Collaborate with internal technical stakeholders and business partners for solving data related technical issues
- Advise others on Data Modelling and the use of database technologies
- Enhancements to existing databases Qualifications
Requirements:
- Bachelor's degree in Computer science, Mathematics, Statistics or in a related field.
- 5 years of hands-on experience in developing data solutions with a strong background in data warehousing (incorporating a Kimball dimensional design methodology)
- Strong relational database development experience in MS SQL is required. Exposure to No SQL database is a plus
- Experience in developing ETL constructs using Informatica or an equivalent tool
- Recent development experience in MS Azure platform (Databricks, ADF), Kafka, Python (or R), Change Spark, and Data Capture (CDC)
- Good communication and collaboration skills
Location city(s): London, Toronto, Winnipeg
Work Style: Hybrid – 3 days a week in office
Normal Business Hours are Monday through Friday from 8:30 am to 4:30 pm with a 30-minute meal break (7.5 billable hours per day).
Languages
- English
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