Data Engineer SE - II
Core
Design, build, and maintain scalable data infrastructure and backend systems that power analytics dashboards, data-sharing integrations, and GenAI/LLM-powered insights for B2B brands.
Role type
Senior IC Data Engineer (Backend & Data Platform)
Builds
Data pipelines, databases, analytics dashboards, and intelligent data products leveraging GenAI/LLM capabilities.
Domain
SaaS / Customer Service / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java, SQL, distributed systems, cloud platforms (AWS/GCP/Azure), data modeling, system design, streaming systems, data pipeline technologies
Preferred skills
GenAI/LLM capabilities (embeddings, vector search, prompt engineering), real-time systems, data visualization tools
Technologies
Snowflake, Kafka, Kinesis, Spark, Airflow, PowerBI, Metabase, Tableau, Hex, Sigma
Responsibilities
Design and build scalable backend systems for data-intensive use cases; Develop high-performance data access layers and services; Work with modern platforms like Snowflake to build and optimize data workflows; Build and contribute to intelligent data products leveraging GenAI/LLM capabilities; Apply strong data modeling practices to design clean, scalable data schemas; Collaborate with product, analytics, and business stakeholders to translate requirements into robust technical solutions; Own end-to-end system design including architecture, performance, scalability, reliability, and security considerations; Continuously improve system performance through query optimization, caching strategies, and efficient data access patterns; Contribute to real-time and near real-time data processing systems; Write clear design documents, conduct code reviews, and ensure high engineering standards; Mentor team members on backend engineering best practices, system design, and modern data platform usage
Seniority
Senior, hands-on IC with mentorship responsibilities
