AI Data Engineer (Data Engineering, Cloud Platform, Python)
Tasks
- Collaborate with data scientists analysts and engineering teams
- Deploy and automate cloud based data solutions
- Develop and maintain ETL/ELT pipelines
- Integrate data from APIs databases and cloud services
- Monitor and improve data quality reliability and pipeline performance
- Prepare data for AI and machine learning
- Process and transform structured and unstructured datasets
- Troubleshoot and resolve production data issues
Perks/Benefits
- Hybrid work model
- Private & life insurance
- Private health insurance
- Sports card
- Training budget
- Wellbeing support
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Apache Spark | Azure | BigQuery | CI/CD | Cloud platform | DBT | Data Quality | Data pipeline | Data pipeline performance | Databricks | Docker | Google Cloud | Google Cloud Platform | Hadoop | Kafka | Kubernetes | Pipeline performance | PySpark | Python | SQL | Snowflake | Version control
Education
N/A
Roles
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