Data Engineer
Tasks
- Build data pipelines
- Coach organizations to become data driven
- Communicate insights from data
- Design data architectures
- Develop data platforms and data products
- Enable data access for analytics and reporting
- Implement and deploy machine learning models
- Incorporate streaming data
- Integrate data from multiple sources
- Operationalize data products using DevOps DataOps and MLOps
- Translate business goals into insight needs and technical solutions
Perks/Benefits
- Bonus plan
- Coaching
- Flat organization
- Flexible projects
- Social events
- Sports activities
- Team collaboration
Skills/Tech-stack
AWS | Amazon Redshift | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BigQuery | CLI | Cloud platform | DBT | Data Factory | DataOps | Databricks | DevOps | Docker | Event Driven | Event-driven architecture | Git | Google Cloud | Google Cloud Platform | Kafka | Looker | MLOps | Plotly | PowerBI | Python | SQL | Snowflake | Snowpipe | Synapse Analytics | Tableau
Education
N/A
Roles
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