Senior Engineer II
3 weeks ago
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 Our Unified Marketing Data Layer Team as a Senior Engineer – II Are you passionate about building unified, organized data to serve all marketing personas with consistent, reliable, and governed data? Do you have expertise in GCP Cloud and a knack for creating robust data solutions? If so, we want you on our team About Us:
At American Express, we believe in the power of progress. When you join Team Amex, you become part of a global community committed to backing our customers, communities, and each other. We offer a unique career journey with benefits, programs, and flexibility to support you both personally and professionally. The Opportunity:
We are looking for a highly skilled Senior Engineer with experience in Big Data, GCP Cloud, Java, and Spark applications. As a key member of our Unified Marketing Data Layer team, you will design, implement, and optimize data solutions to support our data-driven initiatives. Your work will ensure that all marketing personas have access to consistent, reliable, and governed data. What You'll Do: Develop innovative, high-quality, and robust operational engineering capabilities. Work with Big Data, Spark, Java, and Scala in our evolving technology stack. Collaborate with business partners to understand requirements and create technical solutions. Define best practices and drive reengineering opportunities. Participate in peer code reviews and technical discussions. Why Join Us: Be part of a supportive, inclusive environment where your voice is valued. Work with the latest technologies and contribute to the broader engineering community. Enjoy dedicated time for professional development. Benefit from a culture of kindness, positivity, and work/life balance. Qualifications: BS or MS in Computer Science, Engineering, or related field, or equivalent experience. 8+ years of hands-on experience with Big Data & Analytics solutions (Hadoop, Hive, Spark, Scala, Python, GCP Cloud). Proficiency in SQL and database systems, with experience in data model optimization. Experience with data pipelines, Airflow, Kafka, Git, Jenkins, and CI/CD pipelines. Strong problem-solving skills and a proactive approach to continuous improvement. Excellent communication skills and a collaborative mindset. Familiarity with Agile & Scrum methodologies. GCP Professional Data Engineer certification is a plus. Make Your Mark with Team Amex:
Join us and be part of a team that values integrity, innovation, and collaboration. Together, we'll create data solutions that drive our marketing efforts and support our business goals. Apply now and lead the way with American Express We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
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 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.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. #LI-DNI
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