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Field
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criteria for designing ETL solutions and optimizing ETL performance. 2 years of experience with Oracle and AWS PostgreSQL database environments including schema architecture. Strong communication and
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oriented (OO) design and systems development in a LINUX/UNIX and networked environment. Preferred Qualifications Experience working with relational RBDMS (Oracle, MariaDB, PostgreSQL, etc.) and NoSQL
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database technologies: PostgreSQL, MySQL, MongoDB, Oracle, etc. • Information Security standards and frameworks. • Working in a Scrum-Agile environment. • Workday suite of applications/modules. • Workday
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, or PostgreSQL. Knowledge of data visualization tools such as Power BI or Tableau. Collaborate with AI engineers to integrate machine learning models into data pipelines. Strong data analysis skills and experience
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, microservices, and containers. Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Knowledge of configuration management utilities (Chef, Salt, Ansible) and container-based deployment
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such as PostgreSQL, SQL Server, and Oracle. Experience converting data with ETL tools and/or experience applying other advanced programmatic data management methods is also desired. Additional
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-depth knowledge of Serve database administration including designing, enhancing, implementing, and debugging databases using MySQL Redis, Oracle, PostgreSQL. Demonstrated proficiency in designing
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, implementing, and debugging databases using MySQL Redis, Oracle, PostgreSQL. Demonstrated proficiency in designing, developing, debugging, evaluating, and deploying Python, PHP, .Net, and Ruby web applications
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languages (e.g., Python, SQL, Java, etc.) and experience with database technologies (e.g., SQL Server, PostgreSQL, etc.). Demonstrate deep knowledge of statistical methods and will demonstrate practical
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, JavaScript, Agile, DevOps, etc. - Full stack development – MongoDB, ReactJS, Node.js, MySQL, Git, etc. - Database Development – Oracle, SQL Server, PostgreSQL, etc. - Business Intelligence and Data Science