Job Title: Data Engineer
Location: San Francisco, California (On-Site)
Job Summary: We are seeking a talented Data Engineer to help shape trusted, high-impact data products that support analytics and AI initiatives across supply chain domains. Our team is looking for someone who can build scalable cloud-native data solutions, turn complex enterprise data into reliable assets, and contribute to operational excellence across the business.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
- Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
- Ingest, transform, validate, and publish data from multiple enterprise source systems.
- Collaborate with cross-functional teams to deliver high-quality data models, documentation, testing, and production support.
Required:
- Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- 4+ years of experience in Data Engineering.
- Hands-on experience developing data solutions on Google Cloud Platform.
- Strong experience with Dataproc, BigQuery, SQL, and dbt.
- Strong knowledge of data modeling techniques, including dimensional modeling and analytical data warehouse concepts.
- Experience building scalable ETL/ELT pipelines and processing large datasets.
- Familiarity with Git-based version control and CI/CD.
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
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