Data EngineerPosition: Data EngineerLocation: Hybrid - Dallas/Fort Worth, TXDuration: Long TermTop 4 requirements:Database – SQL, Oracle or NoSQLETL Tools – Informatica, DataStage etc.Python/Spark/PySparkAWSResponsibilitiesDeliver high performing scalable, flexible and cost-effective data solutions that conform to architectural designs and Fidelity technology strategyBuild and own a portfolio of policies, procedures and best practices to provide operational and engineering disciplines to evolving data protection & security technologiesEvaluate emerging technologies and market trends through research and POCs to improve and innovate on data protection & security technologies offeringsOwn and continuously optimize tools, process and capabilities to support operational activitiesQualificationStrong technology background in two or more database technologies – Relational (Oracle, SQL Server, MySQL), NoSQL (MongoDB, Cassandra, Graph DB) and Cloud Databases (Aurora, Dynamo, Elastic Cache etc)Knowledge of Data Modelling Principles and solid understanding of database internalsStrong Python experience with building ETL workflows and data-driven solutionsPossess the ability to employ design patterns and generalize code to address common use cases. Capable of authoring high quality & reusable code to contribute to broader repositoriesExpertise in one or more of cloud computing platform (AWS or Azure)Experience using tools for infrastructure as a code (e.g., Terraform, Docker, CloudFormation, etc.) and automation workflows (i.e. GitLab, Jenkins, Artifactory, CI/CD)7+ years in Technology with 3 years in developing and deploying data solutionsNote: Need genuine consultant who can give Code assessment and last 5 Years of w2 employment details once get selected
Unknown Company