Are you a data enthusiast with strong experience in data warehousing and data engineering? Do you have experience managing a data warehouse and integrating new data sources and ETL processes? Are you eager for an opportunity of learning more about performance-based marketing and E-commerce and contributing to the growth of our scale up company? If so, we have the perfect job opportunity for you.
Drive projects to improve our Data Warehouse and ETL processes using Microsoft Stack and Azure Cloud technologies.
Integrate new data sources into our Data Warehouse.
Be responsible for the maintenance and development of the SQL server data warehouse, including data quality, data pipeline integrations, new data source synchronizations, query optimizations, etc.
Develop practices for efficient design, deployment and documentation of our Business Intelligence environment.
Help migrating the current data architecture and pipelines into a Cloud-based Data Warehouse.
Manage and improve the data governance framework.
Develop control structures to ensure data quality and integrity.
Keep up to date with the state-of-the-art tools and technologies to drive improvements in Business Intelligence systems efficiency, process automations and reporting structures.
Maintain and improve the monitoring and refinement of data models and reports.
Keep up to date with the developments in the source systems and recommend opportunities for an enhanced Data Warehouse.
Bachelor or master's degree in Computer Science, Engineering, or any related field of study.
3+ years of relevant work experience in Business Intelligence Development, Data engineering or Data warehousing.
Previous experience with data warehouse management. Experience with Microsoft SQL Server is a plus.
Strong knowledge of SQL, stored procedures and ETL processes.
Strong understanding of server maintenance tasks (performance optimization, indexing, backups, quality checks, etc.) and data governance.
Experience with Cloud-based environments (Azure, AWS, etc.).
Experience working with Azure Analysis Services and SSAS Tabular models is strongly preferred.
Being able to translate business needs into future-proof data models.
Knowledge in other programming languages as Python or R is a plus.
Self-motivated and comfortable operating in a rapidly changing environment.
Proactive attitude and eager to constantly improve yourself. You have a can-do mindset, take ownership and responsibilities and enjoy working with a diverse team of people.
Able to work both independently and as a part of a team.