What are the responsibilities and job description for the Salesforce Data Integration Engineer position at Robert Half?
Are you a Data Integration Engineer with expertise in integration between multiple layers for real time live data? Do you have experience integrating data between Salesforce (SoQL), Mulesoft (or similar), Kafka (or similar), and ODS (SQL)? We have an excellent opportunity with a highly rated organization based in Des Moines, IA. This is an opportunity to work remotely anywhere in the US (CST work schedule). Applicants must be eligible to convert without sponsorship. What would you be doing in this Data Integration Engineer role?The Data Integration Engineer will play a crucial role in designing, implementing, and managing data integration solutions to ensure seamless data flow between systems applications using SSIS, Kafka, MuleSoft & Salesforce.Candidate should have strong knowledge and capability to ensure various data quality checks in Data & Integration platforms by using SQL, SOQL and or other database query languages. Familiarity with data integration process and tool is required.Data Mapping and Transformation: Create and maintain data mapping documentation and implement rules to standardize and transform data during integration processes, outlining how data flows between systems.\Data Integration: Connect and integrate various data sources such as databases, APIs, cloud services, and third-party tools. Document issues related to data integration processes and APIs to report back to developers.Data Integrity: Ensure data integrity and accuracy during the integration process by implementing validation checks.Workflow Monitoring: Monitor integration workflows to ensure they run smoothly and are on schedule, adapting to changing requirements as needed.Collaboration and Deployment: Work closely with data engineers, business analysts, and stakeholders to understand data integration needs and deploy and test integration solutions.Documentation & Compliance: Document data integration processes, workflows, and system configurations and ensure data integration processes comply with relevant data governance policies and regulations.Secure Data Transfer: Ensure secure data transfer mechanisms are in place to protect sensitive information.Efficiency Improvement: Identify opportunities to improve the efficiency of data integration processes.Issue Diagnosis and Resolution: Diagnose and resolve data integration issues promptly to minimize downtime.Support and Recommendations: Provide support and recommendations for complex integration challenges.API Proficiency: Experience with APIs and data exchange protocols.Communication Skills: Strong communication skills with technical and non-technical stakeholders.Impact Analysis: Analyze and review potential adjustments or modifications for impacts on other programs.Technical Proficiency: Strong skills in SQL Server, Kafka, MuleSoft, and Salesforce.Applicants must be eligible to convert without sponsorship.
