Data Engineer
2 months ago
We are seeking a highly skilled Part-time Engineer to join our team at Braintrust. As a Part-time Engineer, you will play a critical role in designing, building, and maintaining robust and efficient data pipelines to process and analyze large volumes of structured and unstructured data.
Responsibilities:- Data Pipeline Development: Design, build, and maintain data pipelines to process and analyze large volumes of structured and unstructured data.
- Collaboration: Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Data Integration: Develop data integration solutions to ingest data from various sources, including databases, APIs, and external systems.
- Optimization: Optimize data workflows for performance, scalability, and reliability, ensuring high availability and data quality.
- Data Transformation: Implement data transformation and cleansing processes to prepare data for analytics and reporting purposes.
- Testing and Debugging: Conduct thorough testing and debugging of data pipelines to identify and resolve issues promptly.
- Infrastructure Monitoring: Continuously monitor and optimize data infrastructure to improve efficiency and resource utilization.
- Professional Development: Stay updated on emerging technologies and industry trends in data engineering and recommend best practices for adoption.
- Documentation: Document system architecture, design specifications, and operational procedures to facilitate knowledge sharing and maintainability.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Experience: Proven experience as a Data Engineer, Python Engineer or similar role, with a strong emphasis on Python programming.
- Skills: Solid understanding of data structures, algorithms, and software design principles.
- Proficiency: Proficiency in building and optimizing complex SQL queries for data manipulation and analysis.
- Big Data Technologies: Hands-on experience with big data technologies such as Hadoop, Spark, or Kafka.
- Distributed Computing: Familiarity with distributed computing frameworks and containerization technologies (e.g., Docker, Kubernetes).
- Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
- Soft Skills: Strong analytical and problem-solving skills with a keen attention to detail.
- Communication: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
We are looking for a highly skilled and motivated Part-time Engineer to join our team at Braintrust. If you are passionate about data engineering and have a strong background in Python programming, we encourage you to apply for this exciting opportunity.
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