Mid Data Engineer (Data & AI Factory)
Tasks
- Act as advisor for junior team members
- Build data observability solutions
- Build data transformations
- Design data pipelines
- Develop AI models
- Maintain data pipelines
- Prepare data for business insights
- Support dataops and ai projects
- Troubleshoot data observability
- Troubleshoot data pipelines
Perks/Benefits
- Cafeteria
- Company events
- Conference opportunities
- Foreign business trips
- Glasses contribution
- Hybrid working
- Multisport card
- Paid vacation
- Pet-friendly office
- Private medical healthcare
- Referral program
- Team building
- Training
Skills/Tech-stack
Agile | Airbyte | Airflow | Apache Hive | Apache Pig | Apache Spark | Cloud platform | DBT | Dagster | Data Ingestion | Data Observability | Data Quality | Data Warehouse | Data Warehouse Design | Dataiku | ELT | ETL | Fivetran | GCP BigQuery | Go | Google Cloud | Google Cloud Platform | Hadoop | ITIL | Machine Learning | NoSQL Databases | Power BI | Python | Relational databases | SQL | Vertex AI | Warehouse design
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
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