Data Engineer / BI Developer - DA&A

Job Summary

This role focuses on designing and building scalable, cloud-native data pipelines and services while working closely with the Salesforce platform and engineering teams. The position will support the transition of legacy workflows (e.g., NiFi, Java APIs) to modern architectures leveraging GCP and Salesforce Data Cloud. It requires a strong data engineering foundation combined with working knowledge of Salesforce data models, integrations, and platform capabilities. Candidate must have relevant experience of 5 to 7 Years.

Key Responsibilities

• Build and operate data pipelines in cloud environments (GCP preferred) with integration into Salesforce Data Cloud.
• Migrate and modernize legacy workflows to cloud-native solutions (e.g., Dataflow, Pub/Sub).
• Design and implement distributed data processing systems using technologies such as Spark and the Hadoop ecosystem.
• Develop and maintain integrations between Salesforce and external systems using APIs and event-driven patterns.
• Collaborate with Salesforce teams on data modeling, ingestion, and synchronization strategies.
• Apply working knowledge of Salesforce platform fundamentals (data model, security, APIs) in solution design.
• Develop backend services using Java and Spring Boot to support data and integration use cases.
• Ensure observability, reliability, and performance tuning of data systems and pipelines.
• Use containerization technologies such as Docker and Kubernetes and CI/CD practices for efficient deployments.
• Implement data engineering best practices to support Data Automation & AI and analytics use cases.
• Work closely with BI and analytics stakeholders to ensure data pipelines and models effectively support reporting and insight generation.
• Contribute to the modernization of data workflows to leverage GCP, Salesforce Data Cloud, and DataBricks where applicable.
• Maintain clear documentation for data flows, integrations, and operational procedures to support ongoing maintenance and knowledge sharing.

Other Capabilities

• Ability to design reliable, scalable data pipelines operating seamlessly across GCP and Salesforce Data Cloud.
• Capability to drive smooth migration of legacy systems with minimal disruption to downstream consumers.
• Strong focus on well-integrated data flows between Salesforce and external systems with clear ownership and observability.
• Commitment to improved operational efficiency through robust design, monitoring, and engineering best practices.
• Collaborative mindset to work effectively with Salesforce, data, and BI teams.
• Problem-solving skills to troubleshoot complex data integration and performance issues in distributed environments.