
Senior Data Engineer
2 weeks ago
Data Architect
About the RoleOur organization is seeking an experienced 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.
Main Responsibilities:- Data Pipeline Development: Build and maintain ETL pipelines for pricing, shipping, and behavioral datasets
- Collaboration: Collaborate with data scientists and product managers to support model development and experimentation
- API/Backend Development: Develop APIs or backend logic to implement dynamic pricing algorithms
- Internal Tool Development: Create internal dashboards or tools with a focus on usability and performance
- Data Quality: Ensure data quality, reliability, and documentation across systems
- Feature Engineering: Perform feature engineering to feed predictive and optimization algorithms
- Dataset Transformation: Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness
- Algorithm Optimization: Optimize algorithm performance for real-time and large-scale deployment
- Flexibility: Ability to work in a fast-paced environment with flexibility in adapting to new tasks and responsibilities
- Adaptability: Strong ability to onboard quickly and adapt to various projects while maintaining creative problem-solving skills
- Experience: 3+ years of experience in data engineering or backend development, with strong expertise in distributed data processing frameworks such as Databricks
- Technical Skills: Proficiency in Python and SQL programming languages, with experience working with cloud-based platforms (e.g., AWS, BigQuery, Snowflake)
- User Interface Design: Demonstrated ability to design and develop user-friendly internal tools or interfaces
- Experimentation Systems: Familiarity with experimentation systems and monitoring infrastructure
- Large-Scale Dataset Handling: Experience handling large-scale, high-dimensional datasets efficiently
- MLOps Experience: Experience with MLOps is highly preferred
- E-commerce Domain Knowledge: Domain experience in e-commerce is highly preferred; knowledge of the pharmaceutical or scientific supply sector is a significant advantage
This role offers a unique opportunity to work on a cutting-edge e-commerce platform, utilizing advanced data engineering techniques to drive business growth and innovation. The ideal candidate will possess a strong passion for data-driven decision making and a willingness to learn and adapt in a fast-paced environment.
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