Job Description
- Design and build high-performance, secure, and scalable data pipelines to support data science projects following software engineering best practices.
- Curate, wrangle, prepare data, and feature engineering to be used in machine learning models.
- Design and develop the data and analytics platform selecting the right technologies for each problem at hand (big-data stack, SQL, no-SQL, etc.).
- Work with the Data Analytics and Science team to understand the business needs and build impactful analytics solutions.
- Coordinate and collaborate with the Data Analytics team & other engineering teams to align on our roadmap.
Requirements
- Bachelor’s Degree in Computer Engineering or related field.
- 4+ years’ experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.).
- 2+ years of hands-on experience building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data.
- Hands-on experience implementing ETL (or ELT) best practices at scale .2+ years of experience in ML pipeline for streaming/batch workflow.
- Hands-on knowledge and experience working with the modern data stack and cloud data platforms (Snowflake, BigQuery, Redshift, DBT).
- Hands-on knowledge and experience with orchestration tools (Airflow, Prefect, or Dragster).
