Tasks
- Design, build, and maintain efficient, reusable, and reliable Python code to construct data pipelines.
- Work closely with data scientists and analysts to understand and fulfill their data requirements.
- Ensure the performance, quality, and responsiveness of data pipelines.
- Identify bottlenecks and bugs, and devise solutions to these problems.
- Maintain code quality, organization, and automatization.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Collaborate with teams to integrate systems.
Requirements
- 4+ years of experience in a Data Engineer role.
- Strong programming skills in Python.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases.
- Strong analytic skills related to working with unstructured datasets.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Preferred Qualifications:
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with machine learning algorithms and libraries.
- Familiarity with data visualization tools.
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