Junior Data Engineer
Tasks
- Assist cloud based data engineering best practices
- Build data architectures
- Design data infrastructure and architecture
- Design data pipelines
- Develop ETL/ELT processes
- Develop data pipelines
- Document end-to-end data flows
- Follow engineering best practices
- Implement data quality, validation, and governance
- Ingest transform data from multiple sources
- Maintain data pipelines
- Optimize data flows
- Perform code reviews
Perks/Benefits
- 13th salary
- Digital learning certificates
- Employee assistance program
- Flexible work schedule
- Flexible working arrangements
- Friday afternoon off
- Hybrid work
- MSc in Business Analytics
- Mobility programs
- Paid paternity leave
- Paid sick leave
- Private medical and life insurance
- Provident fund
- Tech MBA
- Yearly wellbeing days off
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud platform | DBT | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Warehousing | Databricks | Delta Lake | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Python | SQL | Scala | Synapse Analytics
Education
N/A
Roles
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