Must have 3 years of experience in development positions performing the following designing and developing complex and largescale data structures and pipelines to organize, collect and standardize data to generate insights; data modeling, data warehousing, and big data architectures; solving structural and streaming data problems leveraging technologies including Spark and Airflow; Spark data staging, cleansing, transformations, and analysis; working with Java, J2EE, JavaScript, Python, Spring, MVC, JSON, HTML, and GitHub; designing, building, deploying, and maintaining Java services for enterprises and leveraging traditional frameworks; designing, building, and maintaining RESTful APIs and microservices, Docker, Kubernetes; Hadoop data ingestion, building pipelines, transformations, and analysis; building and optimizing data warehouses in massive parallel processing databases; developing software to run on cloud native infrastructure built on AWS using Spark, Lambda, S3, Aurora, Cloud watch and other cloud native services; and data governance and data migration projects showcasing in depth designing, implementing, and organizing data solutions.
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