We are looking for a skilled Data Engineer to join our team in Cleveland, Ohio. This long-term contract position offers the opportunity to contribute to the development and optimization of data platforms, with a primary focus on Snowflake and Apache Airflow technologies. You will play a key role in ensuring efficient data management and processing to support critical business needs.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines using Snowflake and Apache Airflow.<br>• Collaborate with cross-functional teams to implement scalable data solutions.<br>• Optimize data processing workflows to ensure high performance and reliability.<br>• Monitor and troubleshoot issues within the Snowflake data platform.<br>• Develop ETL processes to support data integration and transformation.<br>• Work with tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data operations.<br>• Implement robust data warehousing strategies to support business intelligence initiatives.<br>• Analyze and resolve data-related technical challenges promptly.<br>• Provide support and guidance during Snowflake deployments across subsidiaries.<br>• Document processes and ensure best practices for data engineering are followed.

• Proficiency in Snowflake and Apache Airflow for data engineering tasks.<br>• Strong experience with Apache Spark, Hadoop, and Kafka.<br>• Expertise in Python programming for data processing and automation.<br>• Solid understanding of ETL processes and data transformation techniques.<br>• Background in data warehousing and business intelligence methodologies.<br>• Familiarity with Snowflake schema design and optimization.<br>• Ability to work independently and adapt quickly to changing workloads.<br>• Excellent problem-solving skills and attention to detail.

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