refresh

트렌딩 기업

트렌딩

채용

JobsAmerican Express

Senior Data Engineer I

American Express

Senior Data Engineer I

American Express

Gurugram, Haryana, India

·

On-site

·

Full-time

·

2w ago

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

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.

We are looking for a highly skilled and experienced Senior Engineer with a history of building Bigdata, GCP Cloud, Python 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 Enterprise Marketing 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 our teammates.

How will you make an impact on 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:

  • As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities.

Develop software in our technology stack, which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics).

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.

Suggest and recommend solution architecture to resolve business problems.

Perform peer code review and participate in technical discussions with the team on the best solutions possible.

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 of #Team Amex.

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, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow.

  • Working knowledge of AI/ML concepts with the ability to apply them in building data-driven solutions and enabling intelligent decision-making

  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.

  • Design and development experience with Kafka, Real time ETL pipeline, API is desirable.

  • Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies

  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.

  • Understanding of distributed (multi-tiered) systems, data structures, algorithms & Design Patterns.

  • Strong Object-Oriented Programming skills and design patterns.

  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven).

  • Good knowledge and experience with configuration management tools like GitHub

  • Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.

  • 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 various SDLC methodologies, familiarity with Agile & scrum ceremonies

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

  • 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 regulation.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About American Express

American Express

American Express Company or Amex is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan.

10,001+

Employees

New York

Headquarters

Reviews

3.3

10 reviews

Work Life Balance

2.8

Compensation

3.2

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Good benefits and compensation

Training and professional development provided

Well-structured company with high-level professionals

Cons

Micromanagement and lack of trust from leadership

Fast-paced, high-stress work environment

Poor work-life balance with extended hours expectations

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · ヒューマンリソーシズ L2

0 reports

$168,350

total / year

Base

$67,340

Stock

$84,175

Bonus

$16,835

$117,845

$218,855

Interview Experience

10 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

10%

Interview Process

1

Application Review

2

HireVue Pre-Screening

3

Technical Phone Screen

4

Behavioral Interview

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit