Data Engineer Role Focusing on Python and Scalable Data Solutions

Take on the role of Data Engineer with a focus on Python development in a hybrid environment. You will build data pipelines and collaborate on innovative data projects that tackle complex challenges. In this position, you will leverage your Python skills for developing and maintaining advanced data pipelines. Collaboration with data professionals is key as you translate documentation into efficient workflows. The role emphasizes the importance of data integrity, quality checks, and Agile methodologies to meet business objectives seamlessly. Key Responsibilities: • Create and deploy data pipelines using Python and ETL tools • Collaborate to define data integration and cloud requirements • Convert mapping documents into actionable workflows • Implement quality checks and manage error handling • Participate in Agile planning and review processes Requirements: • 2+ years of experience in data engineering roles • Proficient in Python and SQL for data manipulation • Background in cloud data platforms like Azure or AWS • Knowledge of data quality practices and recovery strategies • Bonus: Familiarity with GenAI and CI/CD Contribute your expertise in building robust data solutions that enhance business analytics and decision-making.