Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and re-designing infrastructure for greater scalability
Assist the engineering team to thoroughly maintain the data infrastructure and reporting
Work with the leadership to implement advanced analytical and machine learning toolkits throughout the product development life cycle
Assemble large, complex data sets to meet new product requirements regularly
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as a data engineer
Working SQL knowledge and experience with relational databases and query authoring
Prior experience building and optimizing automated data reporting, data pipelines, architectures, and datasets
Demonstrable experience working in a startup and the ability to thrive in a fast-paced environment
Experience with AWS cloud services such as EC2, Redshift
Nice to have experience with scripting languages (e.g., Python)
Familiarity with production deployment of machine learning algorithms
Hands-on experience with data visualization tools (e.g., Tableau) is preferred
Excellent English communication and teamwork skills