Data Engineer Snowflake Confirmé (H/F)
Tasks
- Analyze technical and functional requirements
- Assess performance cost and scalability and propose solutions
- Build and maintain ingestion and transformation pipelines with Snowflake Streams and Tasks and dbt
- Collaborate with data teams and business stakeholders
- Conduct code reviews technical audits and expert optimizations
- Design implement data architectures ingestion storage transformation exposure
- Develop optimize and monitor Snowflake data pipelines
- Implement Snowflake governance security and data cataloging
- Mentor team and share best practices
- Model data with data warehousing modeling standards
- Run technical workshops and architecture decisions
- Serve as Snowflake subject matter expert for architecture and performance
Perks/Benefits
- Career growth opportunities
- Certifications support
- Mentoring and knowledge sharing
- Training opportunities
Skills/Tech-stack
Airflow | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Clustering | Cost Optimization | DBT | Data Factory | Data Lineage | Data Vault | ELT | Git | Jenkins | Materialized views | Micro-partitioning | RBAC | SQL | Snowflake | Snowpipe | Spark | Star Schema | Streams and Tasks | Synapse Analytics | Third Normal Form | Time Travel | Warehouses
Education
N/A
Roles
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