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Role: Software Engineering LMTS – Big Data Engineer
Location: Hyderabad, Bangalore.
Job Type: Not explicitly mentioned (assumed Full-time)
Job ID: jr280210
Experience Level: Not specified, typically mid-level to experienced based on role description
Segment: Unified Intelligence Platform (UIP) / Big Data Engineering
Business Unit: Salesforce
Job Summary
This role focuses on developing and supporting Salesforce’s Unified Intelligence Platform (UIP), a modern, cloud-based data platform handling massive data volumes with cutting-edge technology. The engineer will lead architecture, design, and implementation of data and platform services ensuring high performance, scalability, and maintainability. Collaboration across product management, client teams, and third-party vendors is key to delivering scalable and secure solutions that uphold data governance and quality. The position calls for versatility in multiple engineering roles and a commitment to continuous learning and engineering excellence.
Key Responsibilities
- Architect, design, develop, and support critical data and platform services with end-to-end ownership.
- Lead development of metadata-driven data pipelines and services for a multi-cloud petabyte-scale data platform.
- Collaborate with product managers and clients to capture requirements and drive successful scalable solutions.
- Implement security and governance embedded within data solutions.
- Promote service ownership through telemetry, automation, monitoring, and alerting best practices.
- Build data frameworks, quality services, and Salesforce integrated applications for lifecycle management.
- Manage and maintain key UIP tech stack components including Airflow, Spark, Trino, Iceberg, Kubernetes.
- Oversee CI/CD processes for deployment across cloud environments on AWS, GCP, etc.
- Work with external vendors to troubleshoot and resolve platform software issues.
Qualifications & Skills
- Strong foundation in software engineering with multi-language flexibility.
- Experience with distributed systems, big data platforms, data lake engines like Spark and Trino.
- Knowledge or experience with Airflow, DBT, Jupyter Notebooks, Sagemaker, Iceberg, Open Metadata.
- Skilled in building scalable data pipelines and platform services on multi-cloud infrastructures.
- Strong collaboration, communication, and growth mindset.
About Salesforce
Salesforce is a global leader in cloud computing and enterprise software, pioneering solutions that transform customer engagement, data management, and digital innovation. The company’s Unified Intelligence Platform empowers organizations to leverage big data and AI to drive critical insights and innovation while maintaining trust and security.
Why Join Us?
- Work on cutting-edge big data and cloud technologies in a fast-paced, agile team.
- Collaborate with a diverse group of talented engineers passionate about innovation.
- Opportunities for continuous learning, career growth, and ownership of impactful projects.
- Join a company renowned for its leadership in technology and positive workplace culture.
How to Apply
Note: Only shortlisted candidates will be contacted.
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