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Building scalable data pipelines and ETL/ELT processes for a multi-brand eCommerce group. 5+ years of data engineering experience with Python, SQL, and GCP required. 28 days PTO, company product discounts, and Urban Sports Club membership.
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Anforderungen
- 5+ years of experience in Data Engineering, Data Analysis, Data Science, Data Architecture, or similar roles
- Degree in Computer Science, Engineering, Information Technology, or related field
- Strong proficiency in Python and SQL
- Proven experience building ETL pipelines
- Hands-on experience with Google Cloud Platform
- Hands-on experience with BigQuery, Cloud Storage, and Datastream
- Experience with dbt (including testing)
- Experience with Prefect for orchestration
- Solid understanding of broader technical infrastructure
- Understanding of data platform integration with other systems
- Strong problem-solving skills
- Attention to detail
- Ability to work independently
- Excellent communication skills
- Excellent collaboration skills
- Experience with Bloomreach Exponea, Linkster, Tableau, Magento, or Odoo
- Experience with containerization, CI/CD, or MLOps practices
Aufgaben
- Design, build, and maintain data infrastructure
- Ensure reliable and efficient data flow
- Design, develop, and maintain scalable data pipelines
- Build and optimize ETL/ELT processes
- Develop data integration workflows
- Build and optimize data models and schemas
- Implement partitioning strategies
- Create fact and dimension tables
- Manage batch jobs and streaming data
- Manage API integrations across systems
- Monitor data platform performance and cost
- Introduce improvements to the data platform
- Identify and troubleshoot data issues
- Implement solutions for data issues
- Collaborate with data analysts and engineers
- Translate data requirements into technical solutions
- Support integrations with Bloomreach/Exponea
- Support integrations with Linkster
- Support integrations with Zendesk
- Support integrations with Magento
- Support integrations with Odoo
- Contribute to cloud infrastructure improvements
- Contribute to orchestration improvements
- Contribute to CI/CD practice improvements
- Contribute to MLOps practice improvements
- Stay updated on data engineering technologies
- Stay updated on data engineering best practices
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Discount on Yoshi en products
- Discounts on brands (Flaconi, Bosch, Apple, Expedia)
- 28 days paid time off
- Up to 5 days off between Christmas and New Year
- Urban Sports Club membership
- Subsidy for BVG ticket
- Room for new initiatives
- Opportunity to implement ideas
- Inviting office spaces
- Organic teas and superfoods
- Regular tea parties
- Office parties
- Christmas Fest
- Summer Fest
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Yoshi en erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Yoshi enÜber das Unternehmen
The company is a multi-brand eCommerce group uniting brands driven by quality, fairness, innovation, and naturalness.
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