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Data Engineers

American Express
Phoenix, USA
Full-time
Mid · 5+ years experience
Hybrid
Discovered 2 weeks ago
Python

Full Job Posting

Qualifications

  • Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM field, followed by 5 years of progressively responsible experience with database administration. Experience must also include 1 year of experience with each of the following: developing scripts for automating routine tasks; designing algorithms and data flowcharts; performing User Acceptance Testing (UAT); using data modeling and Integrated Development Environment (IDE) tools, including Eclipse and IntelliJ; using issue management tools, including Jira and Backlog; using source control management tools, including GIT; API REST, Apache Airflow, Apache Flink, Big Data, data structures, Elasticsearch, ETL, Hive, Jenkins, JSON, Kafka, Kibana, Linux, MemSQL, NoSQL databases, performance tuning, Python, RDBMS, Spark, shell scripting, and Vert.x-based microservices development. Telecommuting is available up to 2 days per week.
  • Job Location: Phoenix, AZ
  • Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM field, followed by 5 years of progressively responsible experience with database administration. Experience must also include 1 year of experience with each of the following: developing scripts for automating routine tasks; designing algorithms and data flowcharts; performing User Acceptance Testing (UAT); using data modeling and Integrated Development Environment (IDE) tools, including

Responsibilities

  • Document data requirements and data stories, and maintain data models to ensure seamless integration into existing data architectures. Create and maintain information about stored data and understand database requirements and translate those requirements into physical database design. Build and enhance database design and infrastructure that supports the business portfolio. Perform database design review, support database testing, and provide production environment support for database systems and processes. Design database features for ongoing sprints and monitor database requirements based on industry trends, new technologies, known defects, and issues.
  • Document data requirements and data stories, and maintain data models to ensure seamless integration into existing data architectures. Create and maintain information about stored data and understand database requirements and translate those requirements into physical database design. Build and enhance database design and infrastructure that supports the business portfolio. Perform database design review, support database testing, and provide production environment support for database systems a

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