We seek an experienced Senior Data Engineer to join our team and play a pivotal role in designing, building, and consulting solutions within the Salesforce ecosystem. The ideal candidate should have a strong background in data engineering, cloud technologies, and Salesforce products, with a focus on integrating and optimizing data pipelines across various Salesforce clouds.
Requirements
· Design, develop, and maintain data pipelines and workflows for seamless data integration between Salesforce clouds (Service Cloud, CRM Cloud, Data Cloud, etc.) and other cloud platforms like AWS, Azure, or Snowflake.
· Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions within the Salesforce ecosystem.
· Implement best practices for data governance, data quality, and data security, ensuring compliance with industry standards and regulations.
· Develop and maintain Apex code, Salesforce Lightning components, and other custom Salesforce applications to support data processing and integration requirements.
· Leverage middleware technologies like MuleSoft for seamless integration between Salesforce and other enterprise systems.
· Stay up-to-date with the latest Salesforce releases, features, and best practices, and recommend improvements to existing data architectures.
· Mentor and guide junior data engineers, fostering knowledge sharing and promoting best practices within the team.
Skills:
· Proven expertise in Salesforce products, including Service Cloud, CRM Cloud, Data Cloud, and Apex programming.
· Experience with cloud platforms like AWS, Azure, or Snowflake, and their integration with Salesforce.
· Proficiency in data warehousing, data lakes, and big data technologies
· Familiarity with middleware technologies like MuleSoft
· Strong problem-solving and analytical skills
· Excellent communication and collaboration abilities
Experience:
5-10 years of experience in data engineering and the Salesforce ecosystem.
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