Data Engineering SMTS/LMTS – Revenue Analytics
Salesforce · Hyderabad
| Company | Salesforce |
|---|---|
| Role | Data Engineering SMTS/LMTS – Revenue Analytics |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
Salesforce is hiring a senior data engineer at SMTS/LMTS level in Hyderabad for its Revenue Analytics team. The team builds data platforms, data products and AI-enabled automation that power enterprise decisions for both people and agents.
As a hands-on technical lead you will deliver batch and event-driven pipelines with Python, SQL, dbt, Snowflake and Airflow, and build Node.js services and APIs that link the platform to apps and agent workflows. You will also mentor engineers and set testing, CI/CD and SLO standards.
Eligibility
- 10 to 14+ years of experience across data, software or platform engineering
- Deep Python, advanced SQL, dbt, Airflow, Spark and Snowflake
- Practical Node.js, TypeScript, REST, GraphQL and event queues
- OAuth2 and SSO knowledge
- LangGraph, MCP servers and AWS experience are a plus
Skills required
What you will do
- Lead design and delivery of batch and event-driven pipelines
- Set standards for ingestion, data contracts and lineage
- Build APIs and Node.js services linking data to apps and agents
- Set up testing, CI/CD, observability and SLOs
- Mentor senior and associate engineers
How to apply
- Open the official Salesforce job page with the Apply button and submit your application there.
- Tailor your resume to data platforms you led, Snowflake and dbt work and the services that exposed data to apps.
Before the interview, prepare:
- dbt: models, tests, incremental strategies and lineage
- Snowflake cost and performance: warehouses, clustering and query profile
- Data contracts: schema ownership and handling breaking changes
- Serving data to agents: APIs, MCP servers and access control
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