🛠 Tech Stack

💼 About This Role

You'll design and manage scalable data architectures on Google Cloud Platform, leveraging services like BigQuery and Dataflow. Your work will enable data-driven decision-making for enterprise clients. This role offers the chance to work on cutting-edge AI transformation projects.

🎯 What You'll Do

• Design and implement GCP cloud data architectures using BigQuery, Dataflow, Pub/Sub.
• Develop and maintain conceptual, logical, and physical data models.
• Build and optimize data pipelines for ingestion, transformation, and loading.
• Monitor and tune data systems for high performance and availability.

📋 Requirements

• In-depth knowledge of GCP data services including BigQuery, Dataflow, Pub/Sub, Storage, Dataproc.
• Expertise in data modeling techniques and best practices.
• Proficiency in SQL, Python, and DBT.
• Hands-on experience with Spark and Hadoop.

✨ Nice to Have

• Experience designing cloud architectures on Oracle Cloud.
• GCP Professional Data Engineer or Cloud Architect certification.

🎁 Benefits & Perks

• 🏖️ Flexible Time Off
• 🏥 Health, Dental, and Vision Insurance
• 📈 Professional Development Opportunities
• 🤝 Collaborative Team Culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min