Data Engineering SMTS/LMTS- Revenue Analytics
Salesforce, Inc. (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 40–70 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead delivery of high-impact data engineering projects including design, execution, and optimization of end-to-end data pipelines for batch and event-driven workloads.
- Develop and maintain data platform capabilities and integration layers connecting data products to downstream applications and AI workflows.
- Mentor engineers, enforce engineering standards, and ensure operational reliability with defined SLOs/SLAs for data and app integration services.
Minimum Requirements
- 10 to 14+ years of hands-on experience in Data Engineering, Software Engineering, or Platform Engineering.
- Deep expertise with Python, advanced SQL, Snowflake, dbt, Apache Airflow, and data platform management.
- Practical experience with Node.js, TypeScript/JavaScript, REST APIs, GraphQL, and cloud platforms (preferably AWS).
- Experience building or integrating AI-enabled workflows with tools like LangGraph or LangChain; Work Experience Required: 10 to 14+ years explicitly mentioned.
Ideal Candidate Profile
- Technical leader capable of bridging core data platform engineering and full-stack application development with hybrid system knowledge.
- Experienced in delivering production-ready, scalable data products that support business and AI analytics applications with operational accountability.
- Strong execution leader with ability to translate complex requirements into high-quality code while mentoring senior team members.