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Data Engineer I - Salesforce Data 360
Data Engineer
Entry‑level Data Engineer focused on building and maintaining Salesforce‑centric data pipelines, implementing access controls, and supporting data governance and modeling initiatives.
About the role
Key Responsibilities
- Design, develop, and maintain ETL pipelines that extract data from Salesforce APIs and load it into analytical data stores.
- Implement robust access control mechanisms to ensure data security and compliance across all data assets.
- Collaborate with data governance teams to define and enforce data quality standards and lineage documentation.
- Create and maintain logical and physical data models that support reporting and analytics use cases.
- Monitor pipeline performance, troubleshoot issues, and optimize processes for scalability and reliability.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Proficiency in Python and SQL for data extraction, transformation, and loading.
- Hands‑on experience with Salesforce APIs and data integration tools.
- Understanding of data modeling concepts and data governance best practices.
- Strong problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
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