For additional information, please review .**Responsibilities:*** Operate end-to-end in the design, development, and implementation of full-stack data solutions, ensuring optimal performance, scalability, data quality, security, and compliance across the data lifecycle.* Collaborate closely within small, co-located squads (4-7 person teams), fostering an environment of high communication and minimal coordination overhead, to deliver impactful data products.* Develop, maintain, and optimize highly efficient and resilient data ingestion, processing, and transformation pipelines using advanced Python and PySpark techniques for large-scale datasets.* Implement sophisticated data storage solutions leveraging a diverse set of big data technologies including Hive, distributed file systems (e.g., HDFS, S3), and enterprise-grade NoSQL databases (e.g., Cassandra, MongoDB).* Design and implement scalable data models and schemas that support advanced analytics, machine learning, and critical repor...