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About the role
- design, build, and maintain scalable data pipelines and ingestion frameworks
- deliver high value POCs to stabilize and build a strong foundation for an enterprise data platform
- develop custom ingestion, optimize data workflows
- ensure reliable data delivery into Snowflake or other cloud-based platforms
- collaborate with analytics, product, and engineering teams to enable data-driven decision-making
Requirements
- 5+ years of experience in data engineering or related roles.
- Successfully delivered multiple high-value POCs projects.
- Proficiency in Python for building data pipelines and automation scripts.
- Hands-on experience with dbt for data transformation and modeling.
- Strong expertise in Snowflake or similar cloud data warehouse platforms.
- Strong expertise developing in AWS, Azure, or GCP cloud storage for federated data lakes.
- Experience coding custom ingestion to load data from diverse sources.
- Familiarity with modern ETL/ELT tools and best practices.
- Understanding of cloud-based architecture and data security principles.
- Experience working in Agile development environments.
- Strong communication skills for cross-functional collaboration.
- Nice-to-have: Experience with modern data observability and data catalog tools.
Benefits
- comprehensive health insurance
- competitive salaries
- volunteer programs
- scholarship opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringPythondbtSnowflakeAWSAzureGCPETLELTdata transformation
Soft Skills
communicationcollaborationdecision-makingAgile development