Data Engineer

About the role

We are looking for an experienced Data Engineer to design, develop, and optimize scalable data pipelines and cloud-native data solutions on Google Cloud Platform (GCP). The role involves building robust ETL/ELT frameworks, implementing Infrastructure as Code using Terraform, enabling CI/CD practices, and delivering high-quality data products.

What you'll do

• Architect for RAG: You’ll design and scale the pipelines for Retrieval-Augmented Generation (RAG)
• Scale vector infrastructure: You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate)
• Automate data excellence: Using a keen eye for detail, you’ll build automated data guardrails to detect noise, bias

What you need

• 6–11 years in data science & ai
• SQL
• ETL
• Data modelling
• dbt
• AWS
• Databricks
• B.Tech or B.E. or B.Sc or BCA

Good to have

• BigQuery
• Spark
• GCP
• CI/CD
• Terraform
• Customer success