Data Engineer - ML Pipelines, Spark & Airflow
A technology company is seeking a Data Engineer to design and manage scalable data infrastructure supporting predictive models. This role requires expertise in building PySpark pipelines, orchestrating ML lifecycles with Apache Airflow, and implementing efficient data architectures. Ideal candidates will have 3-4 years of Data Engineering experience with strong skills in Apache Spark and SQL. This position is based in Billerica, Massachusetts, and is essential for advancing machine learning initiatives that drive impactful outcomes.
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