Join our Data team and improve our Analytics solution as a core part of the product, having direct feedback and impact on our clients. By taking ownership of our analytical DB (Azure SQL) and core ETL (Azure Data Pipelines), you will maintain, optimize and improve the storage to work well with our ETL processes and BI + reporting. Currently, we load data every four hours through incremental updates, and we aim for close to real-time updates using our Cosmos DB and change data capture. What’s ahead of us? You will help us move towards data lake with modern data warehouse and integrating that into our products.
We are looking for a Data Engineer/Architect, who will strengthen our Data team at Mews with experience and willingness to constantly innovate and question the way we do things here.
Your Mission, should you choose to accept it is:
- Work within a cross-functional team on Analytics product
- Take ownership of our data storages (Azure SQL, Blob Storage)
- Plan and improve our data infrastructure as the size of stored and ingested data grows
- Ensure the health, quality and consistency of stored data and underlaying infrastructure
- Design data models and help managing ETL pipelines
- Collaborate on company data infrastructure and reporting
Requirements
- High level of proficiency in SQL and in managing SQL Server
- Knowledge of analytical tools (e.g. Power BI, Tableau, Keboola)
- Experience with data load tools (e.g. Azure Data Factory, SSIS, Fivetran, Airflow) and data warehouse tools (e.g. Azure Synapse, Snowflake, Redshift)
- Understanding of Azure platform
- Programming skills (C#/.NET, Python) are an advantage
Possibility also part time.
Learn more on our Github:
https://github.com/MewsSystems/developers