🛠 Tech Stack

💼 About This Role

You'll lead migration and modernization of a massive legacy Azure/Databricks system to GCP with a modern data foundation. You'll build scalable data pipelines following Data Mesh and medallion architecture (Raw/Silver/Gold). This role offers exposure to petabytes of data and cutting-edge technologies like BigLake and Gemini.

🎯 What You'll Do

• Analyze and migrate Spark/Databricks notebooks to GCP
• Develop ETL/ELT pipelines in BigQuery and Dataform
• Implement batch and streaming ingestion with Dataflow
• Provision infrastructure using Terraform and CI/CD

📋 Requirements

• Advanced SQL (preferably BigQuery)
• GCP experience with BigQuery, GCS, Dataflow, Cloud Composer
• Python + Apache Spark
• Experience with Git and CI/CD

✨ Nice to Have

• Dataform or DBT
• Databricks experience
• Terraform (IaC)

🎁 Benefits & Perks

• 🚀 High-volume data environment (petabytes)
• 🛠️ Modern tech stack (BigLake, Analytics Hub, Gemini)
• 🏗️ Data Mesh with well-defined domains

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 30 min