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Field
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in back-end technologies and relational databases (e.g., PostgreSQL). Ability to work both independently and in a collaborative team environment. Demonstrated experience with secure and scalable
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PostgreSQL Expertise in configuration management tools such as ansible, puppet, and chef Expertise in orchestration tools such as Terraform Expertise in scripting/programming languages such as Python and
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framework Demonstrated experience in the following databases: Oracle, MySQL, or PostgreSQL. Demonstrated creative problem-solving skills. Ability to handle multiple tasks and projects simultaneously
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Server and PostgreSQL. Working experience in cloud environment and cloud computing applications (Amazon Web Services applications such as EC2, RDS, Route53, IAM and S3). Proficient in Python as web
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such as React, AngularJS or Cassandra. Familiarity with NoSQL databases and RDBMS (e.g., PostgreSQL, MySQL). Strong grasp of web service technologies (XML, SOA, REST). Experience with software integration
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of experience. Over ten (10) years of hands-on experience with SQL and database systems (e.g., Oracle, PostgreSQL, SQL Server, MySQL). Experience in data warehousing and data lake architectures. Over eight (8
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managing large amounts of data by designing structured databases (PostgreSQL, MySQL). Machine learning methods such deep learning for analysis of proteomics data and classification of cancer profiles. Since
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models and frameworks, including PyTorch and TensorFlow. Application programming skills Web development skills, including JavaScript, HTML, CSS Database administration knowledge, PostgreSQL a plus Prior
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, Fast API, PostgreSQL Strong Project Management Skills: Proven ability to manage projects from conception to completion, including resource allocation and timeline management. Understanding of Security
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., Ansible, Terraform), and continuous monitoring (e.g., Prometheus, Grafana). Database Technologies: Strong understanding of database systems, including SQL (e.g., PostgreSQL), NoSQL (e.g., MongoDB, Redis