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Senior Data Engineer, dbt, Snowflake
GECI InternationalSenior Data Engineer developing and optimizing high-performance ELT pipelines for pharmaceutical client with Snowflake and dbt. Collaborating on data modeling and DataOps implementation.
Tech Stack
Tools & technologiesAWSFluxSQL
About the role
Key responsibilities & impact- Design, develop and maintain high-performance ELT pipelines using Snowflake and dbt
- Model data at both conceptual and technical levels according to business requirements
- Optimize SQL queries and dbt models to ensure optimal performance
- Implement and maintain a DataOps infrastructure (deployment automation)
- Configure and manage data security: RBAC, row-level security, dynamic data masking
- Ensure efficient data ingestion from AWS S3 to Snowflake (Snowpipe, external stages)
- Orchestrate data flows via dbt and create DAGs with dependency management and tagging
- Implement data quality tests using dbt tests
Requirements
What you’ll need- Strong production experience with Snowflake (administration and development)
- Proven expertise with dbt, certification preferred
- Experience in the pharmaceutical or life sciences sector is a plus
- Autonomous, detail-oriented, and strong documentation skills
Benefits
Comp & perks- Health insurance
- Flexible working arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ELT pipelinesSnowflakedbtSQLDataOpsdata securityRBACdynamic data maskingdata ingestiondata quality tests
Soft Skills
autonomousdetail-orienteddocumentation skills
Certifications
dbt certification