Job Title:  T&T | EAD | Senior Consultant | GCP Data Engineer | Bengaluru

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.       

Your work profile

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.

Key Skills & Competencies

• 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 (Spark, 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 (Java, Spring Boot) supporting data and integration use cases 
• Ensure observability, reliability, and performance tuning of data systems and pipelines    
• Use containerization (Docker, Kubernetes) and CI/CD practices for efficient deployment  

Preferred Qualifications

• Education - B. tech or BE

Success Metrics

• 5-6 years of experience in Data Engineering, Sales force cloud integration with Docker, Kubernetes, CI/CD, ETL.

Location and way of working:

• Base location: Bangalore
• This profile involves travelling to client locations.