Data Engineer
Tasks
- Apply data governance processes
- Architect document and optimize data flows
- Build and maintain data architectures
- Collaborate with Data Scientists, Analysts, and Business stakeholders
- Conduct code reviews
- Design scalable data pipelines
- Extract, transform, and load data from multiple sources
- Implement automated data pipelines
- Monitor data quality
- Perform data validation
Perks/Benefits
- Digital learning certificates
- EY MSc in Business Analytics
- EY Tech MBA
- Employee Assistance Program (EAP)
- Flexible work schedule
- Flexible working arrangements
- Friday afternoon off
- Hybrid work
- Life insurance
- Mobility programs
- Paid paternity leave
- Paid sick leave
- Private medical insurance
- Yearly wellbeing days off
Skills/Tech-stack
AWS | Amazon Web Services | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | Cloud Platforms | Cloud platform | Collibra | DB2 | DBT | Data Factory | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Validation | Data Warehousing | Databricks | Dimensional Modeling | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Hadoop | Informatica | MS SQL | Microsoft Azure | Microsoft Purview | Microsoft SSIS | MySQL | Oracle | Relational databases | SQL | Snowflake | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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