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4 Weeks ago

Senior Data Engineer II

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Ahmedabad, Gujarat, India
Information Technology
Full-Time
American Express

Overview


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.
How will you make an impact in this role?

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.

About American Express Technology Business Management:

American Express Technology Business Management team enables us to transform Product Development practices through strategic frameworks, processes, tools and actionable insights.
As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs.

 Key Responsibilities:
  • Design and develop solutions using Bigdata tools and technologies like MapReduce, Hive, Spark etc.
  • Extensive hands-on experience in object-oriented programming using Python, PySpark APIs etc.
  • Experience in building data pipelines for huge volume of data.
  • Experience in designing, implementing, and managing various ETL job execution flows.
  • Experience in implementing and maintaining Data Ingestion process.
  • Hands on experience in writing basic to advance level of optimized queries using HQL, SQL & Spark.
  • Hands on experience in designing, implementing, and maintaining Data Transformation jobs using most efficient tools/technologies.
  • Ensure the performance, quality, and responsiveness of solutions.
  • Participate in code reviews to maintain code quality.
  • Should be able to write shell scripts.
  • Utilize Git for source version control.
  • Set up and maintain CI/CD pipelines.
  • Troubleshoot, debug, and upgrade existing application & ETL job chains.

Required Skills and Qualifications:
  • Bachelor’s degree in Computer Science Engineering, or a related field.
  • Proven experience as Data Engineer or similar role.
  • Strong proficiency in Object Oriented programming using Python.
  • Experience with ETL jobs design principles.
  • Solid understanding of HQL, SQL and data modelling.
  • Knowledge on Unix/Linux and Shell scripting principles.
  • Familiarity with Git and version control systems.
  • Experience with Jenkins and CI/CD pipelines.
  • Knowledge of software development best practices and design patterns.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Experience with cloud platforms such as Google Cloud.

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.
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