We’re on the lookout for a talented and passionate Data Engineer to play a key role in our dynamic team. If you’re excited about transforming data into actionable insights, optimizing data pipelines, and ensuring the robustness of our data infrastructure, this could be your next career move.
Key Responsibilities
- Design and implement scalable data architectures
- Develop and maintain data models, schemas, and database structures
- Design, implement, and optimize data pipelines
- Implement task scheduling and automation with APScheduler
- Utilize Docker and Portainer for containerization
- Collaborate with cloud platforms for scalable data solutions.
- Collaborate closely with cross-functional teams to address data requirements
Candidate Requirements
- Python, FastAPI, Uvicorn, APScheduler, PySpark
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Excellent problem-solving and troubleshooting skills
- Familiarity with container orchestration tools (e.g., Kubernetes)
- Strong communication and collaboration skills
- Knowledge of data governance principles and best practices
- Bachelor’s degree in computer science or related field
- 3-5 years of proven experience as a Data Engineer
