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Responsibilities
- Data collection, transformation and storage.
- Data integration from various sources via API.
- Pickup settings (ETL/ELT).
- Building a DWH structure.
- Work in tandem with AI Engineer on data set preparation.
Checklist
- Experience as a Data Engineer.
- Experience working with SQL databases.
- Experience with Python, confident use of libraries and tools such as Pandas, Airflow, FastAPI.
- Experience with ETL/ELT processes.
- Experience with Docker and Git.
- Experience with DWH, knowledge of data warehouse platforms such as BigQuery, PostgreSQL, Snowflake.
- Basic knowledge of CI/CD.
- Experience in API integration.
Working conditions
- Fully remote work or hybrid model for candidates in Warsaw.
- Flexibility in testing and implementing AI solutions.
- Opportunity for career growth and development in the field of AI within the company.
- Competitive salary, discussed individually.
Interview stages
1. Interview with a technical expert;
2. Proposal.