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3 Days ago

Data Engineer III

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Noida, Uttar Pradesh, India
Information Technology
Other
Amex

Overview

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.

How will you make an impact in this role?

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 Bigquery, 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 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 regulations.

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