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Data Engineer
Skills
Computer ScienceBusiness IntelligenceData AnalyticsData ArchitectureData WarehousingKimballModeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Information Systems or related field
- 5+ years designing and implementing large scale production data solutions
- Hands-on experience with Snowflake Data Cloud
- Strong SQL skills
- Experience with GitHub for deployments
- Experience with cloud platforms such as AWS Azure or GCP
- Knowledge of data modeling techniques such as Kimball or Data Vault
- Understanding of enterprise data management concepts
- Excellent presentation and communication skills
- Ability to problem solve with unclear requirements
Nice to have
- Mission-driven
- Analytical
- Collaborative
- Detail-oriented
- Problem-solver
Day to day
- Design, build, and maintain scalable and secure data architecture in Snowflake to support enterprise analytics and business intelligence.
- Develop and optimize data warehouse objects, ETL/ELT pipelines, and deployment workflows across environments using cloud and integration tools.
- Partner with analysts, governance, and BI teams to translate business needs into reliable data solutions while ensuring quality, performance, and cost efficiency.