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Key job responsibilities
Key responsibilities include translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components. You'll design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.Working within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies. You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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