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About the role
We are hiring an experienced Senior Data Engineer with a strong foundation in Python , big data platforms , and an understanding of AI/ML workflows within data engineering. The ideal candidate will work on building scalable and efficient data pipelines, supporting advanced analytics and machine learning initiatives. Primary Skills Required: Python Programming – Strong hands-on experience in data engineering applications AI/ML Understanding – Familiarity with machine learning concepts, model lifecycle, and how AI integrates into data engineering pipelines BigQuery or Snowflake – Expertise in modern cloud data warehouses for building and optimizing queries and data models Data Engineering – Proven experience in building, maintaining, and optimizing large-scale ETL/ELT data pipelines Ability to collaborate closely with data scientists and ML engineers to enable efficient data access for model training and inference Responsibilities: Design and implement scalable data pipelines to support analytics and AI/ML use cases Work with cloud-based databases like BigQuery or Snowflake to process and analyze large datasets Collaborate with cross-functional teams including data scientists and business analysts Build data models that feed into AI/ML pipelines Ensure data quality, integrity, and governance across platforms Optimize performance and cost efficiency of data systems
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