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About
Build AI/ML predictions and forecasts through feature pipelines and data validation frameworks Design and implement reliable, scalable, and secure data pipelines for analytical and product use cases Provide technical leadership and mentorship to data engineers and cross-functional teams
Required Qualifications
5+ years of experience in data engineering, with 1-2+ years in a senior or lead role Deep understanding of ML models and architecture trade-offs Proficiency in Python and strong SQL expertise Experience with MLOps practices and orchestration tools like Airflow or dbt Solid experience with modern data platforms such as Snowflake or BigQuery
Languages
- English
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