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Field
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experience interacting with Adabas. Production experience implementing applications and solutions on AWS. Knowledge of PostgreSQL. Knowledge of Python, Django, PHP, or similar toolset. Experience with software
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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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(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 (Firebase
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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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networking, firewalls, and DNS. Experience with monitoring solutions (e.g. AWS CloudWatch, Nagios). Expertise in common relational database administration tasks (e.g., PostgreSQL, MySQL, SQLite). Experience
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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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tools (examples include: Git/GitHub, Pandas, Globus, Docker, Dryad, PostgreSQL, MongoDB, and Milvus) is desirable. Excellent communication and collaboration skills, with the ability to work effectively in
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/C++, Java, or C#. Knowledge of web applications, REST API, microservices, and containers. Knowledge of Elasticsearch, PostgreSQL, Spark, Hadoop, and data analysis. Knowledge of configuration
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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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, etc.) and experience with database technologies (e.g., SQL Server, PostgreSQL, etc.). Demonstrate deep knowledge of statistical methods and will demonstrate practical knowledge of machine learning model