Data Engineer (Python, AWS services (kafka, hadoop, spark))

• Create data pipelines, streaming systems & data models relating to retail data and e-commerce data sources
• Develop automated data pipelines for synchronizing and processing complex data streams
• Create data processing scripts for structured and unstructured data
• Work alongside data scientists, data engineers, front-end developers, and designers to create the data processing and data storage components of full stack web applications
• Create data models for relational databases

Job Requirements:

• BS in Data Science, Computer Science, Mechanical Engineering, Electrical Engineering, Biomechanics, Mechatronics, Biomedical or a similar technical discipline
• 3-5 years of relevant work experience as a data engineer
• Experience with batch processing data and/or creating real-time analysis systems
• Highly proficient in Python and other data processing languages (Scala, Java) and technologies (Kafka, Hadoop, Spark)
• Experience with using, building & maintaining machine-learning systems
• Proficiency using Git version control
• Strong understanding of affiliate and social media marketing
• Deep understanding of physical measurement principles, advanced statistical analysis and mathematical modeling techniques