We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using Apache Spark, Python, and ETL processes.<br>• Design and implement data storage solutions utilizing Apache Hadoop for efficient data management.<br>• Build real-time data streaming architectures with Apache Kafka to support operational needs.<br>• Optimize data workflows to ensure high performance and reliability across systems.<br>• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.<br>• Perform data quality checks and validation to ensure accuracy and consistency of datasets.<br>• Troubleshoot and resolve technical issues related to data processing and integration.<br>• Document processes and workflows to ensure knowledge sharing and operational transparency.<br>• Monitor and improve system performance, ensuring the infrastructure meets business demands.

• Proficiency in Apache Spark for developing and managing data pipelines.<br>• Advanced programming skills in Python for data processing and analytics.<br>• Experience with Apache Hadoop for large-scale data storage and management.<br>• Knowledge of Apache Kafka for building real-time data streaming solutions.<br>• Strong understanding of ETL concepts and hands-on experience in implementing data transformation workflows.<br>• Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.<br>• Problem-solving skills with a focus on troubleshooting and optimizing data systems.<br>• Familiarity with best practices for data quality assurance and validation.

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