Requirements: • Design and optimize Data Pipelines using Spark, Hudi, EMR cloud services, and Kubernetes containers • Make sure pedigree and provenance of the data is maintained such that the access to data is protected • Clean and preprocess data to enable analytic access • Collaborate with enterprise working groups to advance the state of data standards • Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings architects complex, repeatable ETL processes • Provide Advanced Database Administration support in Oracle, MySQL, MariaDB, MongoDB, Elastic and others • Supports Experience with Targeting using Sponsor Tools, Reverse Engineering • Develop API connectors to enable ingest of new data catalog entries from databases and files • Ensure that data mappings will provide the best performance for expected user experience