Join Katalyze AI as a Staff Data Engineer to lead in creating data architectures that empower our biotech innovations. Design integrations that streamline our AI processes.In this essential role, you will be responsible for defining the data architecture and creating customer integrations pivotal for real-time data access. Your capability in building complex data streaming infrastructures and maintaining effective data quality systems will significantly impact our operations in delivering accessible pharmaceuticals.Key Responsibilities:Own the architecture standards for data infrastructuresBuild out data integration pipelines linking client systemsDevelop scalable data streaming infrastructure with tools like KinesisCreate and manage ETL/ELT pipelines for varying data typesEnsure data quality through observability frameworksRequirements:At least 7 years of data engineering experienceProven expertise in choosing tools and making architecture decisionsProficient in data streaming technologies like FlinkStrong skills in Python, SQL with cloud data platformsBackground in industrial data systems preferredEmpower Katalyze AI's mission with your advanced data engineering expertise.#J-18808-Ljbffr

📌 Katalyze Ai Staff Data Engineer Position (Toronto)
🏢 Katalyze AI
📍 Toronto