Data Engineer Lead
Tasks
- Build and maintain data models for forecasting and churn
- Design and build scalable ETL/ELT pipelines
- Design dimensional and semantic data models for BI
- Develop data solutions for lakehouse architectures
- Ensure data platform scalability and performance
- Implement data quality, validation, and monitoring
- Integrate data from multiple systems
- Support reporting forecasting and AI initiatives
Perks/Benefits
- Career development
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship
- Travel opportunities
- Udemy business access
Skills/Tech-stack
Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | DBT | Data Factory | Data Lake Storage | Data Monitoring | Data Quality | Data Validation | Databricks | Dimensional Modeling | ELT | ETL | Parquet | Power BI | Python | SQL | Semantic Modeling | Snowflake | Synapse Analytics
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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