Salesforce, Inc.
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Hyderabad · On-site · 5-8 Yrs · Sep 23
Enterprise Software & Network Solutions · 10000+ Employees · San Francisco, US
Be limitless in the agentic era. At Salesforce, we’re not just shaping the future. We’re turning big ideas into breakthroughs. As the world’s trusted #1 AI CRM, our employees collaborate with AI agents to drive efficiency, growth, and workforce transformation. Our values are our superpower. We’re purpose-driven high performers, lifelong learners, and innovators shaping what’s next in AI. Ready to solve challenges with agents and lead with impact?
Hiring: Engineering
What employees say
+ good food good culture reasonable pay AI driven
− challenging and impacts work life balance
More reviews on the company profile.
Interview experience · Engagement Delivery Manager
The overall interview process was smooth and professional. The complete hiring journey took around 2 months and involved 5 rounds in total. The 4 rounds focused on technical expertise, scenario-based questions, core Sal
Difficult difficulty · Bengaluru · 1,010 reports
More interview insightsJob description
Overview
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 CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI Data CRM.
Responsibilities
- Be a technical expert on all aspects of SQL, Snowflake, Python, Spark, Hadoop, AWS services, etc.
- Deploy Snowflake following best practices for configuration, optimization, documentation, and support of the data platform
- Support the set-up of roles, schemas, & data pipelines while adhering to security policies and overcoming security restrictions.
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments.Ideal candidates will have a deep understanding of technical and functional designs for Databases, Data Warehousing, Reporting, and Data Mining areasFamiliar with SDLC and Release Management
- Build programmatic ETL pipelines with SQL based technologies and platformsData governance, verification and data documentation using current tools and future adopted tools and platform
- Work with different technologies (Python, shell scripts) and translate logic into well-performing SQLPerform tasks such as writing scripts, web scraping, getting data from APIs etc.
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Job application FAQ
Last updated 24 September 2026
- How do I apply for Data Engineer - Self-Service Experience at Salesforce, Inc.?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Salesforce, Inc. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - Self-Service Experience role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - Self-Service Experience remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Self-Service Experience role at Salesforce, Inc.?
- This is a mid-level Data Engineer - Self-Service Experience role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.