About
Design and implement scalable and resilient end-to-end data analytic pipelines Translate complex analytical concepts into modularized software components to surface actionable insights Automate manual reporting processes to enhance efficiency using cloud-native technologies
Required qualifications
Bachelor's degree in Computer Science, Engineering, or a related quantitative field 7+ years of experience in designing and implementing production-grade data analytic solutions using Scala, Python, and PySpark 5+ years of experience in developing performant data solutions at scale 3+ years of hands-on experience with data analytic cloud services such as AWS EMR and RedShift Demonstrated knowledge in software development best practices, including CI/CD processes
Languages
- English
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