🛠 Tech Stack

💼 About This Role

You'll join Wheely's Data Team to enhance data architecture and optimize pipelines for a high-end ride-hailing service. You'll drive data integration with Debezium, Kafka, and dbt while supporting MLOps workflows in Airflow and MLflow. This role offers stock options and relocation support.

🎯 What You'll Do

• Enhance data team with architectural best practices and low-level optimizations
• Support evolving data integration pipelines using Debezium, Kafka, and dlt
• Manage data modeling with dbt and database engines like Snowflake
• Enforce code quality, automated testing, and code style

📋 Requirements

• 3+ years as Data Infrastructure Engineer, Data Engineer, or MLOps Engineer
• Experience with Analytical Databases like Snowflake, Redshift, or BigQuery
• Proficiency in SQL and Python
• Experience with containerization tools such as Docker and Kubernetes

✨ Nice to Have

• Experience researching and integrating open-source technologies
• Ability to identify performance bottlenecks
• Technical university graduate

🎁 Benefits & Perks

• 📈 Employee stock options plan
• ✈️ Relocation allowance
• 🍽️ Lunch allowance
• 🩺 Medical insurance including dental
• 📚 Professional development subsidies