JWay Group

In your role as a Data Engineer in the Product Services Group (PSG)’s Data Science Team, you will:

  • Construct scalable data infrastructure, and gain insights into distributed systems from storage and computation standpoints.
  • Develop varied data warehousing layers tailored to specific requirements.
  • Spearhead the planning, execution, and delivery of significant data solutions, from medium to intricate scales.
  • Facilitate the deployment of machine learning models into production.
  • Employ your SQL expertise coupled with a deep comprehension of ETL processes and data structure design.
  • Ascertain the ideal technology for generating and overseeing vast datasets, design ETL workflows, craft big data strategies, and draft specific SQL queries for desired outcomes.
  • Exhibit mastery in at least one scripting or programming language suited for high-volume data operations.

About You:

  • Be a proactive individual, ready to introduce innovative approaches and question conventional methods.
  • Lay down the roadmap for effectively managing data lakes and evolving streaming architectures.
  • Foster connections with both internal teams and external collaborators to augment our data repository.
  • Work in tandem with Data Scientists, ensuring your plans are in harmony with associated software development and the broader PSG unit.
  • Guide and cultivate the skills of junior team members and interns.

Join our team if you wish to:

  • Persistently evolve, adopting and implementing novel technologies.
  • Construct reliable, scalable, and efficient services that underpin swift, user-friendly, and polished customer interfaces.
  • Promote a culture of distinction and support a burgeoning team of data professionals in reaching new heights.

Qualifications:

  • Possess a Bachelor's degree in fields like Computer Science, Information Systems, Business, or similar.
  • Demonstrable experience applying SQL to tackle practical challenges.
  • Proficiency in data structuring, ETL processes, and establishing Data Warehouses.
  • Familiarity with cloud platforms like AWS, GCP, or both.
  • Hands-on experience with Python scripting (or a comparable platform-independent language), emphasizing control mechanisms and algorithmic designs.
  • Exceptional organizational abilities with a knack for juggling multiple tasks and prioritizing them effectively.
  • Outstanding communication capabilities.