Lead the design and development of scalable and reliable data pipelines, including data ingestion, processing, storage, and retrieval.
Develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability.
Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives.
Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.
Work closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements.
Develop and implement best practices for data modeling, storage, and retrieval.
Ensure the security and privacy of our data...
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