Software Engineering LMTS – Big Data Engineer
Job Description
Company: Salesforce
Location: Hyderabad & Bangalore, India
Job Type: Full-Time
Experience: 5–10 Years in Big Data engineering / Software development
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Expected Salary: ₹56 Lakhs – ₹76 lakhs per annum (total pay, including base + additional compensation)
Job Category: Engineering, Information Technology
Website: Website url
Contact: Contact information
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About the Company:
Salesforce is the world’s leading CRM platform, enabling businesses to digitally connect with their customers across all channels.
With a strong presence in India, Salesforce is known for innovation in cloud computing, AI, and data platforms.
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About the Role:
The Unified Intelligence Platform (UIP) team at Salesforce builds and maintains a modern cloud data platform to handle petabyte-scale data processing.
As a Software Engineering LMTS – Big Data Engineer, you’ll own the design, development, and support of data pipelines and platform services, ensuring scalability, reliability, and performance.
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Key Responsibilities:
📍Architect and build mission-critical platform and data services with full ownership
📍Develop metadata-driven pipelines ingesting data from multiple sources into a multi-cloud platform
📍Collaborate with product and client teams to capture requirements and deliver scalable solutions
📍Enforce data quality, security, and governance in design and implementation
📍Build frameworks to streamline recurring data engineering tasks
📍Maintain tech stack components: Spark, Trino, Airflow, Iceberg, Kubernetes, etc.
📍Implement CI/CD and automate monitoring/alerting for operational excellence
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Requirements:
✅Proven experience (5–10 years) in Big Data engineering or large-scale distributed systems
✅Strong coding skills (Python, Java, Scala, etc.)
✅Experience with Spark, Trino, Airflow, and cloud environments (AWS / GCP / multi-cloud)
✅Proficient in SQL and data modeling
✅Experience in CI/CD pipelines, DevOps practices, and automation
✅Excellent communication, collaboration, and problem-solving skills
✅Bachelor’s or Master’s degree in CS, Engineering or related technical field
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Compensation & Benefits:
☑️₹76,00,000 per annum (estimated total compensation including base + bonuses/stock)
☑️Benefits: Health coverage, paid time off, performance bonuses, learning & development opportunities
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Why Join Us?
👍🏻Opportunity to work at scale with Salesforce’s cutting-edge data platform
👍🏻Collaborate with top engineers on high-impact, future-facing projects
👍🏻Learn and grow in cloud, big data, and AI/ML environment
👍🏻Competitive compensation and great benefits
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