Senior Engineer - Spark/PySpark/Hive/HBase/Kafka - Enterprise Business Intelligence - job 11 of 11

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

 The U.S. Consumer and Digital Technology (USCDT) team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.

Required Skills

•  Computer Science degree, or equivalent with at-least 10+ years of work experience and at least 8 years of experience with respect to Business Intelligence.
• Hands-on experience in Google Cloud Platform, Data engineering stack like Big Query, Data Proc, Data Flow, Cloud Composer etc.
• 10+ years of experience in Bigdata technologies – Spark/PySpark/Hive/HBase/Kafka
• Experience in building scalable data pipelines
• Strong experience with SQL databases (Postgres, MySQL, etc.)
• Hands on experience with Rest/GraphQL APIs
• Experience working with Python Backend development, shell scripting
• Experience working with Business Intelligence tools such as Tableau
• Good understanding of modern software engineering practices and tools
• Experience in CI/CD process and tools like – Git, Docker, Jenkins, Maven/Gradle, XL Release etc.
• Understanding of various Software Delivery Lifecycle methodologies particularly SAFe Agile and tools such as Confluence, Rally / Jira.
  
  

Key Responsibilities 

• Responsible for migrating applications from OnPrem Big Data Platform to GCP and hardening the architecture by effectively working with the partnering teams.
• Lead the deployment, support, and monitoring of software across test, UAT and production environments while working closely with product partners and users.
• Function as a leader on a software engineering team by contributing to software builds through consistent development practices.
• Promote reuse and collaboration across shared services and components by bringing to bear enterprise frameworks and implement product roadmaps.
• Ensure compliance with technical, architectural, and strategic standards, policies, and procedures.
  
  
  

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries 
• Bonus incentives 
• 6% Company Match on retirement savings plan 
• Free financial coaching and financial well-being support 
• Comprehensive medical, dental, vision, life insurance, and disability benefits 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.