Data Platform Engineer
1 semana atrás
We are Go Yonder, a leading European group of premium brands and retail concepts focused on outdoor.
Our mission is to enable all people to spend inspiring and epic moments outside.
About the RoleWe are seeking a talented Data Platform Engineer with hands-on experience in designing, implementing, and optimizing data workflows on the cloud.
The ideal candidate has experience with Snowflake, DBT, and Airflow and has contributed to projects involving data platform implementations, even if not in a lead capacity.
This role involves working closely with cross-functional teams to design efficient and scalable data models and ETL/ELT pipelines.
Key Responsibilities- Design, implement, and optimize data workflows on the cloud, with a focus on scalability, cost-efficiency, and technical best practices;
- Collaborate with cross-functional teams to design efficient and scalable data models and ETL/ELT pipelines;
- Set up and manage a FinOps environment for comprehensive cost monitoring, optimization, and forecasting across cloud infrastructure, storage, and compute;
- Implement strategies to optimize cost across different environments and user bases, ensuring the data platform aligns with budgetary goals;
Requirements
- Proven experience in a data engineering role, with a significant stake in a cloud-based data platform project involving Snowflake, DBT, and Airflow;
- Proficiency in SQL for data manipulation and transformation; Familiarity with Python scripting is a plus;
- Cloud Experience: Strong experience with AWS, with knowledge of infrastructure-as-code using Terraform (preferred);
- Data Orchestration and Workflow Management: Experience setting up and managing Airflow for task orchestration;
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