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About This Role This is an exciting opportunity to lead a team of data engineers and drive innovation in data processing and analytics. You will be responsible for providing technical direction and mentorship to your team, ensuring they have the skills and knowledge needed to succeed. You will also be responsible for architecting, implementing, and optimizing end-to-end data pipelines that meet the needs of our organization. Key Responsibilities Lead and mentor a team of data engineers, ensuring best practices in coding, architecture, and data operations. Architect, implement, and optimize end-to-end data pipelines that process and transform large-scale datasets efficiently and reliably. Design scalable workflows using orchestration tools such as Apache Airflow, ensuring high availability and fault tolerance. Requirements 8+ years of experience in data engineering with a proven track record of leading data projects or teams. Strong programming skills in Python. Expertise in building and optimizing ETL pipelines. Experience with Snowflake or equivalent data warehouses. Expertise in orchestration tools like Apache Airflow. Deep understanding of messaging queues. Demonstrated ability to architect and implement scalable data solutions handling terabytes of data. #J-18808-Ljbffr
