We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. This is a long-term contract opportunity for an individual with a strong background in building and optimizing data pipelines and systems. The ideal candidate will have a passion for working with large-scale data and a proven ability to leverage modern tools and technologies to deliver high-quality solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain scalable data pipelines and ETL processes to support business needs.<br>• Develop and optimize solutions using tools such as Apache Spark, Python, and Apache Hadoop.<br>• Manage and integrate streaming data platforms like Apache Kafka to ensure real-time data processing.<br>• Utilize technologies such as AWS Lambda, Step Functions, Glue, and Redshift for cloud-based data solutions.<br>• Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.<br>• Ensure data quality and integrity through rigorous testing and validation processes.<br>• Create and maintain documentation for data workflows, processes, and system architecture.<br>• Implement infrastructure as code using Terraform to enhance system reliability and scalability.<br>• Troubleshoot and resolve data-related technical issues promptly.<br>• Stay updated on emerging trends and technologies in data engineering to continuously improve practices.

• Minimum of 3 years of experience in data engineering or a related field.<br>• Proficiency in Apache Spark, Python, and Apache Hadoop.<br>• Hands-on experience with Apache Kafka and real-time data processing.<br>• Strong knowledge of ETL processes and methodologies.<br>• Familiarity with AWS services such as Lambda, Step Functions, Glue, and Redshift.<br>• Expertise in Terraform for infrastructure automation.<br>• Solid understanding of data architecture and system design.<br>• Excellent problem-solving skills and attention to detail.

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