We are on a mission to rid the world of bad customer service by “mobilizing” the way help is delivered. Today’s consumers want an always-available customer service experience that leaves them feeling valued and respected. Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach. We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time. Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works. Companies such as Scopely, Supercell, Brex, EA, Square along with hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery. Over 900 million active monthly consumers are enabled on 2B+ devices worldwide with Helpshift.

Some numbers that illustrate our scale:





85k/rps

30ms response time

300 GB data transfer/hour

1000 VMs deployed at peak

Requirements
- Requirements
- Experience: 5+ years of Data Engineering experience, with a proven track record of building complex, high-performance data pipelines and AI-driven systems in production environments.
- Deep Snowflake Expertise: Extensive, hands-on qualified experience with Snowflake, including advanced data modeling, schema design, and native Snowflake features.
- Programming Mastery: Expert-level proficiency in Python and SQL, with strong foundational knowledge in data structures, algorithms, and software engineering best practices.
- Snowflake Cortex & GenAI: Demonstrable experience leveraging Snowflake Cortex AI to build scalable GenAI and Agentic use-cases directly within the data platform.
- Advanced Data Pipelines: Extensive experience designing and implementing complex, automated data pi

📌 SE II Data Engineer (Pune)
🏢 Keywords Studios
📍 Pune