
Building High-Performance Data Solutions
1 week ago
We are seeking skilled Data Engineers to support our mission of delivering tailored solutions leveraging cutting-edge AI, LLMs, and optimization tools.
The ideal candidate will have a strong background in data engineering or backend development, with extensive experience working with Databricks and distributed data processing frameworks. They should also be proficient in Python and SQL, with hands-on experience working with cloud-based platforms such as AWS, BigQuery, or Snowflake.
Key responsibilities include designing and developing ETL pipelines, collaborating with data scientists and product managers to support model development, implementing dynamic pricing algorithms, creating internal dashboards or tools with a focus on usability and performance, ensuring data quality and reliability across systems, performing feature engineering to feed predictive and optimization algorithms, aggregating and transforming high-dimensional datasets at scale to ensure modeling efficiency and robustness, and optimizing algorithm performance for real-time and large-scale deployment.
The role requires flexibility in working with startup-like environments, an ability to onboard immediately, and a demonstrated ability to design and develop user-friendly internal tools or interfaces.
Familiarity with experimentation systems and monitoring infrastructure is preferred, as well as experience handling large-scale, high-dimensional datasets efficiently. MLOps experience is also desirable, and domain experience in e-commerce is preferred, particularly knowledge of the pharmaceutical or scientific supply sector.
Benefits:
- Opportunities for professional growth and development
- Collaborative and innovative work environment
- Competitive compensation package
Required Skills and Qualifications:
- 3+ years of experience in data engineering or backend development
- Strong hands-on experience with Databricks and distributed data processing frameworks
- Proficiency in Python and SQL
- Experience working with cloud-based platforms such as AWS, BigQuery, or Snowflake
Preferred Skills and Qualifications:
- Familiarity with experimentation systems and monitoring infrastructure
- Experience handling large-scale, high-dimensional datasets efficiently
- MLOps experience
- Domain experience in e-commerce, particularly knowledge of the pharmaceutical or scientific supply sector
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