Big Data Engineer for Firebase & Snowflake

We are looking for a highly skilled engineer who can work on:

Big Data Architecture

Design scalable data models for high read/write workloads

Optimize Firestore schema for large datasets

Ensure fast query performance as data grows

Firebase Expertise

Firestore data modeling & indexing

Cloud Functions (Node.js)

Performance optimization

Cost optimization (reads/writes)

Security rules best practices

Automated backup & recovery strategy

Snowflake Integration

Design pipelines from Firebase / GCP → Snowflake

Data warehousing for analytics & reporting

Schema design for analytics use-cases

Batch / streaming data ingestion strategies

Reliability & Scalability

Prevent crashes and data loss

Fault-tolerant architecture

Plan for future scale (100k+ users)

Migration strategy if required (Firebase → hybrid backend)

-> Required Skills

Strong experience with Firebase (Firestore + Cloud Functions)

Solid understanding of Big Data concepts

Hands-on experience with Snowflake

Google Cloud Platform (GCP)

Node.js

Data modeling & performance optimization

Experience handling high-volume production systems

-> Nice to Have

Experience with education platforms / SaaS products

Experience designing analytics dashboards

Knowledge of event-driven systems

Startup experience

-> Engagement Model

Initially: Part-time / Contract

Long-term association possible based on performance

Flexible working hours

Opportunity to work on a scaling product with real users

-> When Applying, Please Share:

Your experience with Firebase at scale

Projects involving Snowflake

How you approach big data performance optimization

Availability (hours/week)

Important Note

This is not a beginner Firebase project.
We are looking for someone who understands scaling, performance, and real production systems.