Full Time
Engineer – American Express Remote Jobs
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.