We’re looking for a hands-on Data Engineer to help us modernize our data infrastructure and support critical analytics and data science initiatives. You’ll work closely with our architecture team to build robust data pipelines and backend services in a cloud-native environment (GCP or AWS).
What You’ll Do:
Lead the migration of backend data components to the cloud (GCP/AWS)
Build and maintain scalable, high-performance data pipelines and ELT workflows
Collaborate with architects and data scientists to design robust systems
Work with BigQuery, Python, and cloud-native tools
Ensure reliability, performance, and monitoring of production systems
What We’re Looking For:
3+ years in data engineering or backend development
Strong experience with Python, SQL, and BigQuery
Familiarity with cloud platforms (GCP preferred, AWS acceptable)
Understanding of CI/CD, version control (Git), and orchestration tools (Airflow, etc.)
Any Gradute