Cloud Data Engineer
Job Type
Full Time | Remote
Must Haves
- Minimum 12 years of relevant experience in architecting, design, and development of data warehouse systems (SQL Server based on Cloud/on premise and Analytics) at enterprise scale.
- Experience in building end-to-end data warehouse and analytical systems using SQL Server family of products, Analysis Services, Power BI, etc.
- Experience in Data platforms development using Azure SQL database, Azure Data Factory, Azure Storage, Azure Pipelines, Azure IaaS/PaaS related to database.
- Expert-level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
- Designing and building data pipelines using API ingestion and streaming ingestion methods.
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as Code is essential.
- Experience in developing NoSQL solutions using Azure Cosmos DB is essential.
- Thorough understanding of Azure and AWS Cloud Infrastructure offerings.
- Strong experience in common data warehouse modeling principles including Kimball, Inmon.
- Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable.
- Knowledge of Microsoft BI Stack (SSRS/SSAS [Tabular with DAX & OLAP with MDX], SSIS) is desirable.
- Knowledge of C# and hands-on experience with PowerShell scripting is desirable.
- Working knowledge of Python is desirable.
- Experience developing security models.
- Bachelor’s degree in computer science/engineering or related fields.
Salary
Up to GHS 15K per month.
Location
100% Remote
How to Apply
- Follow this link to download the CV template.
- Complete the template.
- Complete the application form with the updated CV.
- We will contact you once you qualify for an interview.