About the Role
As a Senior Data Engineer, your focus is on improving data availability and quality while creating a robust architecture for AI use cases.
* Collaborate with data engineers, scientists, and business professionals to foster a data-driven culture.
* Support business professionals in refining use cases and identifying high-impact opportunities.
* Maintain and develop existing data infrastructure.
* Plan and create system infrastructure for analysis applications.
* Design and configure robust datasets and databases.
* Build up deep knowledge of Snowflake model.
Requirements:
* University degree in computer or data science.
* Proven track record in data acquisition techniques.
* Deep knowledge of Snowflake SQL Scripting, Alteryx, SnapLogic.
* Experience in DevOps and familiarity with GitLab for CI/CD.
* Deep knowledge in building end-to-end data pipelines.
* Project management skills and an agile approach.
* Excellent interpersonal and intercultural communication skills.
Nice to Have:
* Experience with MS Power Automate.
* Experience in building data ingestion pipelines using AWS, Azure data services.