Senior Data Engineer
Tasks
- Conduct code reviews and ensure best practices
- Develop data pipelines ETL ELT and integrations
- Document pipelines workflows and data models
- Enforce data quality and governance standards
- Gather requirements and define data models
- Implement monitoring and alerting
- Improve data accessibility and documentation
- Lead data architecture design
- Maintain databases data warehouses and data lakes
- Optimize pipeline performance, reliability, and scalability
- Provide technical leadership and mentorship
- Support reporting and data visualization
Perks/Benefits
- Casual leave
- Crèche financial aid
- EAP counseling
- Employee assistance program
- Group medical insurance
- Hybrid work
- Life insurance
- Paid time off
- Personal accident insurance
- Quarterly reimbursement
- Sick leave
- Wellness app subscription
Skills/Tech-stack
AWS | Agile | Amazon EMR | Amazon S3 | Apache Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Functions | Azure Storage | Azure Storage Accounts | DBT | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lakes | Data Modeling | Data Quality | Data Warehousing | ELT | ETL | Logic Apps | Power BI | Python | SQL | Storage Accounts
Education
N/A
Roles
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