Data Engineer (43318)

I am looking for a Data Engineer with strong Snowflake and SQL experience to design and maintain data pipelines across enterprise systems such as Salesforce, Oracle JD Edwards, and MuleSoft. You will work on data transformations, performance optimization, and ensure reliable data flows in a complex environment. The role requires hands-on Snowflake experience, strong SQL skills, and the ability to work independently across multiple systems.

🚀 Project
- design, build, and maintain data pipelines ingesting data from enterprise systems (Salesforce, Oracle JD Edwards, MuleSoft)
- develop and optimize SQL-based transformations, stored procedures, and data models within Snowflake
- contribute to the design and implementation of Data Vault modeling
- manage Snowflake environments (virtual warehouses, resource monitors, roles, access control)
- optimize query performance, clustering keys, and cost efficiency
- troubleshoot data quality issues and ensure reliability of data flows
- collaborate with teams running Agentforce implementations
- work with MuleSoft integration specialists and Salesforce consultants to ensure data connectivity
- engage with architects and business stakeholders to translate requirements into technical solutions

🎯 Skills
- solid hands-on experience with Snowflake (2–4+ years)
- strong SQL skills (complex transformations, performance tuning)
- experience integrating data from Salesforce (Sales Cloud, Service Cloud, CPQ, B2B Commerce)
- familiarity with MuleSoft as an integration layer
- ability to work independently in a complex, multi-system environment

💡 Nice to have
- experience with Data Vault modeling
- knowledge of Oracle JD Edwards data structures
- exposure to Agentforce or Salesforce AI products
- familiarity with dbt or other transformation frameworks
- Snowflake SnowPro certification