We're representing a dynamic business dedicated to extending healthy lifespans and cutting unnecessary medical costs. They're seeking a Senior Data Engineer to propel their Data team forward.
Key Responsibilities:
- Lead Cloud Data Warehouse Project: Oversee the next development phase, ensuring top-notch scalability, reliability, and performance.
- Data Management Ownership: Be the go-to expert for data management, ensuring smooth operations and accessibility.
- Support BAU Workloads: Assist in prioritising and managing day-to-day tasks for efficiency and alignment with goals.
- Set Technical Direction: Define the systems and tools' technical direction, advancing towards ML and AI integration.
Required Experience:
- Snowflake: Proficiency in setup, configuration, and optimisation.
- DBT (Data Build Tool): Strong skills in managing transformations and data pipelines.
- Python: Expertise in scripting, automation, and data manipulation.
Beneficial Experience:
- Dagster/Airflow: Managing complex workflows.
- Qlik Sense Cloud/Tableau: Data visualization and reporting.
- Fivetran/AirByte: Efficient data ingestion.
- AWS: Familiarity with cloud infrastructure.
- CI/CD Pipelines: Automating software delivery.
- Microsoft SSIS/SSRS: Data integration and reporting.