Senior / Lead Data Engineer (24x7 Data & AI Factory)
Tasks
- Advise junior team members
- Build AI models
- Build data pipelines
- Design AI models
- Design data pipelines
- Improve data observability
- Maintain AI models
- Maintain data observability
- Maintain data pipelines
- Prepare business insights solutions
- Support dataops and ai projects
- Transform data
- Troubleshoot AI models
- Troubleshoot data observability
- Troubleshoot data pipelines
Perks/Benefits
- Cafeteria benefits
- Conference attendance
- Dental package
- Foreign business trips
- Glasses contribution
- Hybrid work model
- Multisport card
- Pet-friendly office
- Private medical healthcare
- Referral program
- Training opportunities
- Vacation days
Skills/Tech-stack
Agile | Airbyte | Airflow | Apache Spark | Cloud platform | DBT | Dagster | Data Ingestion | Data Observability | Data Warehouse | Dataiku | ELT | ETL | Fivetran | Go | Google Cloud | Google Cloud Platform | Hadoop | Hadoop Hive | Hive | ITIL | NoSQL Databases | Pig | Power BI | Python | Relational databases | SQL | Vertex AI
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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