Data Engineer II

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 a Data Engineer and ETL developer, you will be responsible for designing, developing, and maintaining GCP data pipelines. You will work closely with cross-functional business teams to deliver high-quality solutions that meet our organizational needs.

Key Responsibilities:

• Understand business requirements to set functional specifications for reporting applications.
• Must be able to design data models that translates data into insightful knowledge by understanding business requirements.
• Hands on experience in Python, PySpark etc.
• Hands on experience in writing basic to advance level of optimized queries using SQL.
• Knowledge and working experience in bigdata ecosystem and ability to write queries using HQL.
• Integrate data, alter data, and transform data for business intelligence.
• Should be able to connect and join multiple data sources to generate powerful data insights and visuals.
• Should be able to contribute individually without much technical support.

Required Skills and Qualifications (Must have):

• Bachelor’s degree in computer science engineering, or a related field.
• Detailed knowledge and understanding of Relational Databases.
• Comprehensive understanding of data modeling, administration, and visualization.
• Proven experience querying large sets of data and deriving insights.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred skills (Must have):

• Knowledge and understanding of ETL (Extract, Transform, Load) framework.
• Bigdata and related ecosystem, tools and technologies. Ability to handle huge volume of data & ability to transform to derive business insights.
• Good knowledge of any public cloud environment preferably Google Cloud.
• Knowledge on various GCP data and BI related services like BigQuery, Looker etc.
• Hands on experience with Python, Pyspark and ETL

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.