Senior Data Engineer
Tasks
- Create semantic models and curated tables for reporting
- Design build and maintain data models and transformations
- Develop optimize SQL queries views and stored procedures
- Improve pipeline reliability performance and cost optimization
- Integrate event driven architectures with Snowflake
- Monitor and tune Materialize clusters
- Perform schema design data quality assessments and governance
- Review infrastructure as code deployments and analyze system logs
- Support real time data flows with CDC Kafka and Materialize
- Troubleshoot upstream data issues with CDC connectors and pipelines
Perks/Benefits
- Collaborative environment
- International client exposure
- Mentorship programs
- Professional development opportunities
Skills/Tech-stack
AWS | Azure | CDC | CloudFormation | DBT | Database Internals | Docker | Fivetran | GCP | HVR | Incremental SQL | Indexing | Infrastructure as Code | JSON | Kafka | Kubernetes | Log Analysis | Materialize | Observability | PostgreSQL | Power BI | Query Optimization | Relational databases | SQL | Snowflake | Stored Procedures | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
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