Senior Data Engineer
Tasks
- Build and manage ELT pipelines using DBT
- Contribute to platform modernization and continuous improvement
- Deliver secure governed datasets for analytics and operational use cases
- Design scalable maintainable high performance and cost optimized data solutions
- Develop and maintain Snowflake data products and data models
- Develop reusable data engineering frameworks standards and best practices
- Ensure GDPR security and data management compliance with data governance teams
- Evaluate emerging technologies and recommend platform improvements
- Implement CI CD pipelines and automated deployment processes
- Implement automated data quality checks monitoring and observability
- Implement real time and near real time data integration with Kafka and event driven architectures
- Mentor junior engineers and share knowledge
- Perform code reviews and promote engineering excellence
- Support AI and advanced analytics with trusted high quality data assets
- Troubleshoot and resolve data quality performance and reliability issues
Perks/Benefits
Skills/Tech-stack
APIs | Agile | CI/CD | Change Data Capture | DBT | Data Capture | Data Lakehouse | Data Modeling | Data Observability | Data Quality | Data Vault | Data Warehousing | Dimensional Modeling | Docker | Event Driven | Event-driven architecture | Git | Infrastructure as Code | Kafka | Kanban | Kimball | Python | SQL | Scrum | Snowflake | Terraform | Test-Driven | Test-Driven Development | “as-code”
Education
N/A
Roles
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