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Data Workflow Developer Python
hace 1 semana
Data Engineering Opportunities at AgileEngine
We are seeking a skilled Data Engineer Python professional to join our team. As a key member, you will be responsible for developing and maintaining data workflows using Airflow, Python, and Spark.
In this role, you will analyze performance trends to prevent problems proactively, troubleshoot ETL issues, and contribute to the evolution of our data architecture. You will also implement and maintain cloud-based data solutions, optimize data pipelines for performance and reliability, and collaborate with the Analytics product team on new features.
To succeed in this position, you will need 4-6 years of experience in ETL/SQL, strong Python programming skills, experience with Apache Airflow and Spark, and understanding of data warehouse concepts and structures. Additionally, you should have AWS or other cloud platform experience, the ability to work in a fast-paced R&D environment, and an analytical approach to problem-solving.
We offer competitive USD-based compensation and budgets for education, fitness, and team activities. You will also have the opportunity to join projects with modern solution development and top-tier clients, as well as enjoy flextime options for an optimal work-life balance.
