Full Time

Engineer – American Express Remote Jobs

Posted 1 year ago
Arizona
$30 - $40 per hour

Job Description

Job Type: Engineer from home
Location: Arizona work from home
Company: American Express

Position Description:

Show increasing self-reliance in order to attain team goals Inspire team members with new adjustments and improvements by challenging status quo and displaying risk taking Range of Impact/Influence: Responsible for team completing work you’re leading and work you’re doing as agreed upon Accountable to team for quality work delivery

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, comparable technical subject, or equivalent practical experience
  • Proficiency with data processing software and techniques (e.g., Spark, Hadoop, Pig, Hive) (e.g., MapReduce, Flume)
  • Java, C++, Python, Go, JavaScript expertise creating and growing effective, dependable, secure infrastructure and systems to support large-scale data efforts, mainly in the Amazon or GCP ecosystem REST API design and implementation experience
  • Excellent knowledge of NoSQL technologies such as HBase, Cassandra, Redis, Memcached, and others.
  • Ability to interpret technical and business objectives and difficulties, as well as express solutions
  • In a production setting, you must have strong analytical and programming skills.
  • It’s great to have Google Cloud Platform. Skills: Big Query, Airflow, Terraform, and DBT

Responsibilities

  • Contributes to architecture definition, solution design, development, problem solving, debugging, evaluating, modifying, deploying, and documenting software and systems
  • Contribute to software builds as a core member and leader of an agile team by using consistent development processes (tools, common components, and documentation)
  • You will instruct various teams on how to use our Cloud Platform to ingest, store, process, analyze, and explore/visualize data.
  • You will work on data migrations and transformative initiatives, as well as with internal partners, to build large-scale data processing systems, data pipelines optimized for scaling, and potential platform difficulties.
  • Serve as a trusted technical advisor to usecase teams, assisting them in resolving complicated Big Data challenges.
  • Develop and distribute standard process suggestions, tutorials, blog articles, and sample code to important business and technical stakeholders at various levels.