As a Machine Learning Data and Analytics Engineer, design, build, and maintain data infrastructure to transform fragmented information into a cohesive data ecosystem, enabling real-time data-driven decisions.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience using Python (Pandas, NumPy) or Java to develop data processing tools or automation scripts.
- Experience in managing data workflows using tools like Airflow, dbt, or Prefect.
- Experience in building and querying data within BigQuery, Snowflake, or Redshift environments.
- Experience in developing operational dashboards using Looker, Tableau, or Power BI.
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