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An innovative company is looking for a talented data engineer to enhance their data processing capabilities. This role involves working with cutting-edge technologies such as Spark and Kafka to build scalable data solutions. You'll collaborate remotely with a diverse team, contributing to exciting projects while enjoying a flexible schedule and a supportive work environment. The company values continuous learning, offering training budgets and co-working allowances, ensuring you have the resources to thrive in your career. If you're passionate about data engineering and eager to grow, this opportunity is perfect for you.
We are seeking a skilled data engineer with expertise in Spark, Kafka, and related technologies to join our team. The ideal candidate should be capable of reading, refactoring, and testing Spark code following best practices, with experience in Kafka architecture patterns and strategies for scalable implementation. Knowledge of data lake, data warehouse, and Delta Lake concepts is a plus, along with awareness of current trends in data engineering.
Scala, Spark, Node.js (ES6 and Typescript), Python, React, MongoDB, MySQL, RabbitMQ, Redis, AWS (SNS, SQS, API Gateway, Cognito, Lambda, Redshift, Aurora, DynamoDB). Mastery of all is not required; understanding core principles is more important.