Data Engineer
Tasks
- Architect and document end to end data flows
- Collaborate with data scientists, analysts, and stakeholders
- Design data pipelines
- Develop and maintain data architectures
- Implement data governance processes
- Implement data quality and validation
- Monitor data pipelines
- Perform code reviews
- Support data extraction, transformation, and loading
Perks/Benefits
- Employee assistance program
- Flexible work schedule
- Flexible working arrangements
- Friday afternoon off
- Hybrid work
- Mobility programs
- Paid paternity leave
- Paid sick leave
- Private medical and life insurance
- Provident fund
- Yearly wellbeing days off
Skills/Tech-stack
Airflow | Amazon Web Services | Apache Spark | Azure Data | Azure Data Factory | CI/CD | Cloud Computing | Cloud platform | Collibra | DB2 | DBT | Data Factory | Data Governance | Data Modeling | Data Quality | Data Validation | Data Warehousing | Data orchestration | Databricks | Dimensional Modeling | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Hadoop | Informatica PowerCenter | Microsoft Azure | Microsoft Purview | Microsoft SQL | Microsoft SQL Server | Microsoft SSIS | MySQL | Oracle | SQL | SQL Server | Slowly Changing Dimensions | Snowflake | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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