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3 days ago
At Confiz, we're seeking an experienced and skilled Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, building, and maintaining scalable data solutions to support critical business needs.
The ideal candidate will have hands-on experience with distributed data platforms such as BigQuery, Hadoop/EMR/DataProc, Snowflake, or Teradata, and proficiency in Apache Airflow for building and orchestrating workflows and data pipelines. You will also be proficient in Python and SQL for data processing and analysis.
In addition, the successful candidate will have experience with cloud platforms like AWS or GCP, including building scalable solutions, and familiarity with Kubernetes for container orchestration. Knowledge of Kafka for event streaming and real-time data pipelines is also a plus.
Key Responsibilities:
- Data Platform Development: Design, develop, and maintain data pipelines and workflows on distributed data platforms.
- Cloud Integration: Build and optimize cloud-based solutions using AWS or GCP to process and store large-scale datasets.
- Workflow Orchestration: Design and manage workflows and data pipelines using Apache Airflow to ensure scalability, reliability, and maintainability.
- Containerization and Orchestration: Deploy and manage containerized applications using Kubernetes for efficient scalability and resource management.
- Event Streaming: Work with Kafka to implement reliable and scalable event streaming systems for real-time data processing.
We are looking for a strong problem-solver with excellent communication and collaboration skills to work effectively in a team environment. The ideal candidate will have a Bachelor's degree in computer science, Engineering, or a related field (or equivalent work experience).
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