About MBRDI:
Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
Job Description: Salesforce Data Cloud Developer
Experience: 4–6 Years
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Perform data ingestion using native Connectors (Salesforce CRM, Marketing Cloud,MCP), Inbound APIs, and Web/Mobile SDKs.
Build and maintain complex Data Transforms using SQL and formula logic to clean, normalize, and harmonize raw data into the Customer 360 Data Model.
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Configure and optimize Identity Resolution Rulesets (Match and Reconciliation rules) to create unified "Golden Profiles" across fragmented sources.
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Manage Data Graphs to pre-calculate and visualize multi-level object relationships for low-latency retrieval.
Develop advanced Calculated Insights using SQL to generate real-time and batch-processed metrics like LTV, churn, and behavioral scores.
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Build complex Segments using a mix of profile, behavioral, and calculated data to identify high-value target audiences.
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Configure and manage Activations and Activation Targets to push unified data to Marketing Cloud, Personalization, Amazon S3, and external endpoints.
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Manage Data Space configurations to ensure proper data isolation, security, and governance across global regions.
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Monitor and optimize Data Cloud Credit consumption through efficient query design and processing schedules.
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Integrate Data Cloud with Salesforce Flow and Apex to trigger automated, data-driven business processes.
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Design and deploy advanced analytics using the Tableau Direct Connection to visualize unified profile data and calculated insights.
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Build native Salesforce Reports and Dashboards specifically on Data Cloud objects to track ingestion health and segment performance.
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Configure Calculated Insights for external consumption via the Query API to power third-party reporting tools and custom visualization layers.
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Establish data validation frameworks and audit reports to ensure reporting accuracy and consistency across the entire data lifecycle.
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Collaborate with stakeholders to map business requirements to technical metadata, ensuring end-to-end data lineage and integrity.