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Senior Engineer

Phoenix, AZ, USA
Data Scientist Machine Learning Engineer Database Administrator SQL Developer Data Engineer
American Express
Actively hiring

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives.  Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems.  American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source.  And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development.  Find your place in technology on #TeamAmex.

The Chief Technology Officer Organization’s vision is to raise the bar for technical excellence, talent, strategy, and standards across Technology. It also seeks to cultivate and foster technical innovation, as well as elevate and amplify the technical heartbeat of the organization.

We are looking for a highly skilled Senior Engineer with a solid experience of building Bigdata, GCP Cloud based ETL Pipelines and Spark applications. The Senior Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization’s data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders.

Joining the CETS (Colleague Experience Technology Services) team, this role will be focused on the delivery of innovative solutions to satisfy the needs of our business. As an agile team we work closely with our business partners to understand what they require, and we strive to continuously improve as a team. 

We pride ourselves on a culture of kindness and positivity, and a continuous focus on supporting colleague development to help you achieve your career goals.  We lead with integrity, and we emphasize work/life balance for all of our teammates.

 How will you make an impact in this role?

 There are hundreds of opportunities to make your mark on technology and life at American Express. Here’s just some of what you’ll be doing:

 Develop modern, high quality, and robust operational engineering capabilities.

  • Develop software in technology stack which is constantly evolving but currently includes Big data platforms like BigQuery, Airflow, DataProc.
  • Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps.
  • Create technical solution designs to meet business requirements.
  • Define best practices to be followed by team.
  • Taking your place as a core member of an Agile team driving the latest development practices
  • Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods.
  • Perform peer code review and participate in technical discussions with the team on the best solutions possible

  Minimum Qualifications

 BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.

  • 8+ years of hands-on software development experience with Big Data & Analytics solutions
    • Hadoop Hive, Spark, Python, shell scripting, GCP Cloud - Big Query, Airflow, DataProc, PubSub
  • Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
  • Experience of building event processing pipelines with Kafka or GCP PubSub.
  • Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
  • Strong Object-Oriented Programming skills and design patterns.
  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
  • Good knowledge and experience with configuration management tools like GitHub
  • Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
  • Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
  • Looks proactively beyond the obvious for continuous improvement opportunities.
  • Communicates effectively with product and cross functional team.
  • Willingness to learn new technologies and leverage them to their optimal potential.
  • Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.

 Preferred Qualifications

  • Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.

 

hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

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