Senior Data Engineer

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This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry.

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you.

You would join the data platform team to develop data infrastructure to support our next generation products and data initiatives.

In this group, you will be responsible for building, operationalizing and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

Do you believe testing should be at the heart of any engineering effort?

Do you believe that ruthless simplification and refactoring are the soul of any engineering effort?

Do you want to help establish an Engineering culture with these fundamentals?

We are looking for individuals hungry to drive change across an already very profitable business.

Technology is changing rapidly, and that pace is only accelerating.

Advancements in GPT (Generative Pre-trained Transformer) models and Retrieval-Augmented Generation (RAG) algorithms are just a couple examples.

We are expanding our Engineering teams to leverage these innovative technologies and modernize our entire Data Management Platform.

Come join us to learn and apply modern technologies and prepare our platforms for the many growth opportunities which lie ahead.

Key Responsibilities

• Define and implement payment schedules for loans
• Develop and maintain reporting and data pipeline systems
• Apply payments and ensure accurate processing
• Manage downstream credit bureau reporting through data pipelines
• Collaborate with compliance and legal teams to ensure reporting alignment
• Contribute to the development of new features and plan for future architecture
• Participate in the migration to a new architecture

Required Skills and Experience

• Strong proficiency in Python and SQL
• Experience with Pandas for data manipulation and reporting
• Expertise in PostgreSQL, including performance optimization
• Familiarity with AWS S3
• Experience with Apache Airflow
• Knowledge of CloudWatch for log management
• Experience with Snowflake
• Ability to adapt to new technologies (Java/Kotlin in the near future)

What you'll bring to us

• Able to work well within the constructs of an agile development process, including SCRUM, Unit Testing, Continuous Build, and Integration, etc.
  
  
• Proficiency in programming languages, especially Python, is typically required
• Experience in building and optimizing big data data pipelines, and data sets.
  
  This includes designing, constructing, installing, testing, and maintaining highly scalable data management systems
• Understanding of data structures and algorithms, as well as skills in distributed computing.
  
  The ability to develop procedures for data mining, data modeling, and data production.
  
  
• Experience with cloud services such as AWS, Google Cloud, or Azure can be important, as many businesses utilize these platforms for their data storage and processing needs.
  
  

Some of the benefits you’ll enjoy working with us

• The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.
  
  
• The opportunity to be part of an amazing, multicultural community of tech experts.
  
  
• The opportunity to grow and develop your career with the company.
  
  
• A flexible and remote working environment.
  
  

Come and join our #ParserCommunity.

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It excludes unrelated postings and clutter for clarity.