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Senior Python Engineer
2 meses atrás
BoldMetrics is a SaaS solution for retailers and brands to reduce returns, improve sustainability, and supercharge their supply chain from the ground up.
We use a comprehensive set of machine learning and AI technologies to accurately predict customer body measurements, helping apparel brands unlock the power of body data to meet the demands of today's increasingly personalized world.
Job DescriptionWe are seeking a skilled Python Developer to join our fast-growing team. This position is for someone located in São Paulo, Brazil who is able to come into the office in-person at least three days a week.
In this role, you will have the opportunity to work with some of our biggest projects within the retail industry, developing, maintaining, and enhancing ETL pipelines using Python and Airflow, as well as developing internal tooling and scripts with Python.
You will also be responsible for debugging and resolving issues that come up with regards to data or application, maintaining and scaling the AWS backend infrastructure that uses API Gateway, Lambda, Dynamo, S3, and coordinating with internal engineering and business teams to understand requirements and develop solutions.
Additionally, you will collaborate with cross-functional teams to onboard new clients into the platform.
Requirements- Bachelor's degree in Engineering, Mathematics, Physics, or a related field.
- 3+ years of experience as a Software Engineer.
- Demonstrated ability to code in Python.
- Familiarity with Python packages such as pandas, numpy, matplotlib, and Flask.
- Knowledge of AWS services and how they can be used in conjunction with one another.
- Willingness to learn and deep dive into new technologies.
- Good communication skills to be able to communicate with business partners.
- Demonstrated ability to investigate complex issues, troubleshoot problems, and implement viable solutions in a timely manner.
We are an equal opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.
