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Data Pipeline Engineer
2 months ago
We're on a mission to make advanced AI technologies more accessible, and we're looking for talented individuals to join our dynamic team. As a Data Pipeline Engineer, you'll play a crucial role in building the next generation of AI models, driving innovation in AI, and ensuring that our solutions are transparent, privacy-preserving, and accessible to all.
Key Responsibilities:- Design and develop efficient, reusable, and reliable Python code to construct data pipelines that meet the needs of our data scientists and analysts.
- Collaborate with cross-functional teams to integrate systems and ensure seamless data flow.
- Identify bottlenecks and bugs, and devise solutions to optimize performance, quality, and responsiveness.
- Maintain code quality, organization, and automatization to ensure scalability and efficiency.
- Develop and implement data collection systems and strategies that optimize statistical efficiency and data quality.
- 4+ years of experience in a Data Pipeline Engineer role.
- Strong programming skills in Python, with experience in big data tools such as Hadoop, Spark, and Kafka.
- Experience with relational SQL and NoSQL databases, as well as strong analytic skills related to working with unstructured datasets.
- Strong project management and organizational skills, with experience supporting and working with cross-functional teams in a dynamic environment.
- Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- Experience with machine learning algorithms and libraries, as well as familiarity with data visualization tools.
We're committed to creating a workplace that's inclusive, diverse, and supportive of all employees. If you're passionate about AI, data, and innovation, and you're looking for a challenging and rewarding role, we encourage you to apply.
