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Data Engineer - SMTS

Data Engineer - SMTS

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Salesforce

5 years

0 Lacs

Hyderabad Telangana India

Posted:4 days ago| Platform:

Apply

Skills Required

data salesforce ai crm drive power stack design analytics ml signal layers discovery graphs engineering spark kafka software testing support analysis strategy metrics aws iam containerization collaborator recruiting compensation training assessment termination

Work Mode

On-site

Job Type

Full Time

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job CategoryDataJob Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About The Role

We’re building the

product data platform

that will power Salesforce’s next era of

agentic intelligence

— delivering smarter, adaptive, and self-optimizing product experiences.As a

Full-Stack Data Engineer

, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents.

You’ll Work On

Near real-time and batch telemetry pipelines for trusted signal capture
Semantic layers and data products for reusable insights
Programmatic discovery via metadata, MCP, and knowledge graphs

This isn’t a typical data engineering role. We’re looking for

creative, systems-minded engineers

working outside of the “data engineer” box, fluent in both

data and AI

, and excited to navigate ambiguity, cross boundaries, and drive real impact.

What You’ll Do

Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT
Design programmatic consumption layers to make product signals easy to define, discover, and reuse
Apply software engineering best practices to data systems: testing, CI/CD, observability
Evolve systems to support not just human analysis, but autonomous agent reasoning
Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products
Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders

What We’re Looking For

5+ years of experience in data engineering, with strong software engineering fundamentals
Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake
Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)
Solid understanding of semantic layers, data modeling, and metrics systems
Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
Bonus: fluency in AI data engineering patterns and tools like MCP
Bonus: experience with knowledge graphs and modern metadata systems
Strong communicator and collaborator — comfortable working across teams and domains
Curious, pragmatic, and impact-driven mindset

Why Join Us

Help shape how Salesforce leads the

digital labor revolution

. You’ll be at the heart of transforming raw product signals into intelligent decisions — for everyone from engineers to sales reps to AI agents. If you’re excited to design

resilient, trusted, and intelligent systems

at scale, we’d love to hear from you.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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Data Engineer - SMTS