🛠 Tech Stack

💼 About This Role

You'll lead cloud modernization initiatives and develop scalable data pipelines for enterprise-level systems. You'll drive the transformation of legacy infrastructure into a robust, cloud-native data ecosystem.

🎯 What You'll Do

• Lead migration of large-scale datasets to Google BigQuery.
• Build real-time streaming pipelines for IoT and telemetry data.
• Develop scalable ETL pipelines using Apache Airflow and Python.
• Optimize complex SQL queries and performance in BigQuery.

📋 Requirements

• 5+ years in Data Engineering
• 2+ years hands-on with GCP and BigQuery
• Experience migrating on-premise data systems to the cloud
• Proficiency in Apache Airflow, Python, and Apache Spark

✨ Nice to Have

• GCP Professional Data Engineer certification
• Experience with dbt, Kafka, or Terraform
• Exposure to ML pipelines or DataOps

🎁 Benefits & Perks

• 💻 Cutting-edge technologies
• 🌐 Remote flexibility
• 📈 Growth opportunities