<p>We are looking for an experienced Senior Data Engineer to join our team in Oxford, Massachusetts. In this role, you will design and maintain data platforms, leveraging cutting-edge technologies to optimize processes and drive analytical insights. This position requires a strong background in Python development, cloud technologies, and big data tools. This role is hybrid, onsite 3 days a week. Candidates must have GC or be USC.</p><p><br></p><p>Responsibilities:</p><p>• Develop, implement, and maintain scalable data platforms to support business needs.</p><p>• Utilize Python and PySpark to design and optimize data workflows.</p><p>• Collaborate with cross-functional teams to integrate data solutions with existing systems.</p><p>• Leverage Snowflake and other cloud technologies to manage and store large datasets.</p><p>• Implement and refine algorithms for data processing and analytics.</p><p>• Work with Apache Spark and Hadoop to build robust data pipelines.</p><p>• Create APIs to enhance data accessibility and integration.</p><p>• Monitor and troubleshoot data platforms to ensure optimal performance.</p><p>• Stay updated on emerging trends in big data and cloud technologies to continuously improve solutions.</p><p>• Participate in technical discussions and provide expertise during team reviews.</p>

<p>• Minimum of 7 years of experience in data engineering or related fields.</p><p>• Proficiency in Python and PySpark for data development.</p><p>• Hands-on experience with Snowflake and other cloud-based platforms.</p><p>• Strong knowledge of big data tools such as Apache Spark, Hadoop, and Kafka.</p><p>• Strong experience with AWS technologies and services.</p><p>• Ability to design and implement APIs for data integration.</p><p>• Expertise in algorithm development and data visualization techniques.</p><p>• Excellent problem-solving and analytical skills, with attention to detail.</p>

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