Description
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.
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 professional 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 pipelines utilizing Snowflake Stored Procedures (Snowpark Python/SQL).
- LLM 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.
- Data Products via Streamlit: Hands-on experience building, deploying, and optimizing interactive data applications and user interfaces using Streamlit.
- Cloud Infrastructure: Familiarity with modern cloud platforms (AWS/GCP/Azure) and their integration with Snowflake data infrastructure.
- System Operations: Solid understanding of production system operations, including observability, data quality monitoring, reliability, and Snowflake security/RBAC.
- Bonus 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.
- Education: Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Communication: Strong verbal and written communication skills, with the ability to translate complex AI/data concepts to business stakeholders efficiently.
Responsibilities
- Cortex & 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.
- Complex Pipeline Development: Design, build, and deploy highly scalable data pipelines natively within Snowflake using Snowpark and Python/SQL Stored Procedures.
- Cost & Performance Optimization: Rigorously monitor, troubleshoot, and optimize Snowflake compute costs and query performance, specifically focusing on the execution efficiency of LLMs and Agentic functions.
- Streamlit Application Delivery: Rapidly prototype, build, and deploy intelligent, interactive data products and internal tools using Streamlit to surface GenAI insights to business users.
- Data 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.
- Rapid 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.
- Cross-Functional Collaboration: Collaborate closely with product managers, analytics teams, and business stakeholders to translate requirements into robust, AI-powered technical solutions.
- Engineering Standards: Maintain high engineering standards by writing clear technical design documents, conducting thorough code reviews, and implementing CI/CD best practices for Snowflake artifacts.
Benefits
- Hybrid setup
- Worker's insurance
- Paid Time Offs
- Other employee benefits to be discussed by our Talent Acquisition team in India.