Data Engineer SE - II
Core
Design and build scalable backend systems and data pipelines to power data-intensive and analytics-driven use cases for B2B brands.
Role type
Senior backend data engineer
Builds
High-performance data access layers, modern data workflows on Snowflake, and intelligent data products leveraging GenAI/LLM
Domain
B2B customer service platform, cloud data infrastructure, GenAI
Deliverable
production ML models
Required skills
Python, Java, SQL, distributed systems, cloud platforms (AWS/GCP/Azure), data modeling, system design, security fundamentals
Preferred skills
GenAI/LLM capabilities (embeddings, vector search, prompt engineering), streaming systems (Kafka, Kinesis), data pipeline technologies (Spark, Airflow), data visualization (PowerBI, Tableau)
Technologies
Snowflake, Kafka, Kinesis, Spark, Airflow, PowerBI, Tableau, AWS, GCP, Azure
Responsibilities
Design scalable backend systems for data-intensive use cases, develop high-performance data access layers, build and optimize data workflows on Snowflake, apply data modeling practices for analytics schemas, collaborate with stakeholders on technical solutions, own end-to-end system design, improve system performance via optimization, contribute to real-time data processing, write design documents and conduct code reviews, mentor team members
Seniority
Senior, hands-on IC with mentorship
