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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate scalable, cloud-native data pipelines primarily on GCP integrating with Salesforce Data Cloud.
Migrate legacy workflows (NiFi, Java APIs) to modern cloud architectures using technologies like Dataflow, Pub/Sub, Spark, and Hadoop.
Develop and maintain backend services and integrations between Salesforce and external systems, ensuring observability, reliability, and performance tuning.
Minimum Requirements
5 to 7 years of relevant experience as Data Engineer or BI Developer in data analytics and engineering environments.
Strong hands-on experience with GCP services including Dataflow and Pub/Sub, and distributed processing systems like Spark and Hadoop ecosystem.
Working knowledge of Salesforce Data Cloud, platform fundamentals including data models, security, and APIs.
Experience developing backend services using Java and Spring Boot, with familiarity in containerization (Docker, Kubernetes) and CI/CD.
Ideal Candidate Profile
Experienced in integrating Salesforce Data Cloud with external systems using API-based and event-driven patterns.
Proven track record of smoothly migrating legacy data workflows to cloud-native solutions with minimal disruption.
Skilled in designing reliable, observable data flows and operationalizing data pipelines within cross-functional teams involving data, BI, and engineering stakeholders.