Analytics Engineer with DBT and Data Vault
2 tygodni temu
- On-site, Remote, Hybrid
You will be:
- Designing, building, and maintaining scalable data pipelines and a state-of-the-art lakehouse within Google Cloud.
- Managing and optimizing robust data models.
- Developing efficient ELT processes with tools like DBT and Fivetran to collect, transform, and load data from various sources.
- Collaborating with data scientists and analysts to generate valuable, data-driven insights.
- Ensuring well-structured, accessible datasets that support the analytics team.
- Safeguarding data integrity by implementing solid validation processes.
- Troubleshooting and resolving complex technical issues related to data integration and processing.
- Staying up-to-date with the latest innovations in Google Cloud, data engineering, and analytics.
Your profile:
- Ready to start within 6 weeks.
- At least 3 years of relevant work experience as an Analytics Engineer, Data Engineer, or a similar role, preferably in a Google Cloud environment (a Google Cloud Professional Data Engineer certificate or similar certification is a strong plus but not mandatory).
- Expertise in data warehouses, ETL processes, and tools such as BigQuery, Dataflow, Cloud Storage, DBT, SQL, and Python.
- Experience with data modeling, Data Vault, database design, and query optimization is a must.
- Strong problem-solving skills and can tackle complex technical challenges.
- Fluent in English, both spoken and written.
- Enjoy working in multidisciplinary teams and contribute to a positive work atmosphere.
- Understand customer needs and can translate them into valuable data solutions.
Work from EU and a work permit to work from EU are required.
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