Senior Data Integration Engineer

3 weeks ago


Johannesburg, South Africa Indsafri Full time

Senior Data Integration Engineer (Salesforce, Databricks & MuleSoft) Location : Johannesburg (Hybrid) Employment Type : Contract Contract Tenure : 6 to 12 months Job Summary We are seeking a highly experienced and strategic Senior Data Integration Engineer to architect, build, and manage the data pipelines that power our customer intelligence ecosystem. In this critical role, you will be the subject matter expert responsible for designing and implementing robust integrations between our core platforms : Salesforce Data Cloud, Databricks, and MuleSoft. You will be responsible for creating a seamless flow of data, enabling advanced analytics, and empowering our business to activate real-time customer insights. The ideal candidate is a hands-on expert who can translate complex business requirements into scalable, secure, and high-performance technical solutions. Required Skills & Experience 6+ years of professional experience in a data engineering, integration development, or data architecture role. Proven hands-on experience with MuleSoft : Demonstrable expertise in designing, building, and managing APIs using the Anypoint Platform (API-led connectivity, DataWeave, connectors). Strong proficiency in Databricks : Hands-on experience developing data pipelines using PySpark , SQL, Delta Lake, and job orchestration. Demonstrable experience with Salesforce Data Cloud : In-depth knowledge of its data model, ingestion methods (Connectors, Ingestion API), identity resolution, segmentation, and activation capabilities. Expert SQL & Python Skills : Ability to write complex, efficient SQL queries and Python code for data manipulation and automation. Solid understanding of data modeling principles and experience designing and working with ETL / ELT processes. Experience working with major cloud platforms (AWS, Azure, or GCP ). Preferred Qualifications Certifications : Salesforce Data Cloud Consultant Experience with other Salesforce clouds (e.g., Marketing Cloud, Sales Cloud). Knowledge of CI / CD and DevOps practices in a data context. Familiarity with streaming data technologies (e.g., Kafka). #J-18808-Ljbffr



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