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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 We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time.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.\nSome numbers that illustrate our scale:\n85k/rps\n30ms response time\n300 GB data transfer/hour\n1000 VMs deployed at peak\nRequirements\nRequirements\nExperience: 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.\n\nDeep Snowflake Expertise: Extensive, hands-on professional experience with Snowflake, including advanced data modeling, schema design, and native Snowflake features.\n\nProgramming Mastery: Expert-level proficiency in Python and SQL, with strong foundational knowledge in data structures, algorithms, and software engineering best practices.\n\nSnowflake Cortex & GenAI: Demonstrable experience leveraging Snowflake Cortex AI to build scalable GenAI and Agentic use-cases directly within the data platform.\n\nAdvanced Data Pipelines: Extensive experience designing and implementing complex, automated data pipelines utilizing Snowflake Stored Procedures (Snowpark Python/SQL).\n\nLLM Cost & Performance Optimization: Deep understanding of performance tuning and cost optimization specifically tailored for LLMs, vector searches, and Agentic systems running within cloud data platforms.\n\nData Products via Streamlit: Hands-on experience building, deploying, and optimizing interactive data applications and user interfaces using Streamlit.\n\nCloud Infrastructure: Familiarity with modern cloud platforms (AWS/GCP/Azure) and their integration with Snowflake data infrastructure.\n\nSystem Operations: Solid understanding of production system operations, including observability, data quality monitoring, reliability, and Snowflake security/RBAC.\n\nBonus Skills: Experience with modern orchestrators (e.g., Airflow, Dagster), streaming data (Kafka, Snowpipe Streaming), or traditional BI tools is a plus, but secondary to Snowpark/Cortex expertise.\n\nEducation: Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).\n\nCommunication: Strong verbal and written communication skills, with the ability to translate complex AI/data concepts to business stakeholders efficiently.\n\nResponsibilities\nCortex & Agentic Architecture: Architect and implement advanced Agentic use-cases leveraging Snowflake Cortex, embedding LLM capabilities (summarization, anomaly detection, automated insights) directly into core data workflows.\n\nComplex Pipeline Development: Design, build, and deploy highly scalable data pipelines natively within Snowflake using Snowpark and Python/SQL Stored Procedures.\n\nCost & Performance Optimization: Rigorously monitor, troubleshoot, and optimize Snowflake compute costs and query performance, specifically focusing on the execution efficiency of LLMs and Agentic functions.\n\nStreamlit Application Delivery: Rapidly prototype, build, and deploy intelligent, interactive data products and internal tools using Streamlit to surface GenAI insights to business users.\n\nData Modeling & Architecture: Apply expert-level data modeling practices to design clean, scalable, and secure data schemas that support both traditional analytics and complex AI/ML workloads.\n\nRapid Iteration & Delivery: Operate effectively in a fast-paced contract environment, owning end-to-end technical delivery from architecture to deployment, and hitting the ground running to solve immediate business challenges.\n\nCross-Functional Collaboration: Collaborate closely with product managers, analytics teams, and business stakeholders to translate requirements into robust, AI-powered technical solutions.\n\nEngineering Standards: Maintain high engineering standards by writing clear technical design documents, conducting thorough code reviews, and implementing CI/CD best practices for Snowflake artifacts.\n\nBenefits\nHybrid setup\nWorker's insurance\nPaid Time Offs\nOther employee benefits to be discussed by our Talent Acquisition team in India.\nHelpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status\nPrivacy Notice\nBy providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. 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