
Chief Data Architect
1 week ago
We are seeking a highly skilled Data Engineer to support infrastructure, data pipeline development, and deployment of pricing logic for a data-rich e-commerce platform serving the life sciences sector.
As a key member of our team, you will be responsible for building and maintaining ETL pipelines for pricing, shipping, and behavioral datasets. You will collaborate with data scientists and product managers to support model development and experimentation.
You will develop APIs or backend logic to implement dynamic pricing algorithms, create internal dashboards or tools with a focus on usability and performance, and ensure data quality, reliability, and documentation across systems.
Key Responsibilities:
- Design and develop efficient ETL pipelines for large-scale datasets.
- Collaborate with cross-functional teams to support model development and deployment.
- Develop APIs and backend logic to implement dynamic pricing algorithms.
- Implement data visualization and reporting tools to support business decisions.
- Ensure data quality, reliability, and documentation across systems.
Requirements:
- 3+ years of experience in data engineering or backend development.
- Strong hands-on experience with Databricks and distributed data processing frameworks.
- Strong Python and SQL expertise; experience with cloud-based platforms (e.g., AWS, BigQuery, Snowflake).
- Demonstrated ability to design and develop user-friendly internal tools or interfaces.
- Familiarity with experimentation systems and monitoring infrastructure.
- Experience handling large-scale, high-dimensional datasets efficiently.
- MLOps experience is preferred.
- Domain experience in e-commerce is preferred; knowledge of the pharmaceutical or scientific supply sector is a strong advantage.
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