Lead Data Engineer/Full Remote (North America/CA) /Award-Winning HR Technology and Services Company/Competitive Salary

Lead Data Engineer/Full Remote/Award-Winning HR Technology and Services Company/Competitive Salary

My client, an Award-Winning HR Technology and Services Company, is looking for a Lead Data Engineer to join their innovative product team. In this role you will be building a game-changing SaaS platform that will empower global business and HR professionals to manage and pay their global workforce with state of the art technology and a simplified user experience.

Their mission is simple, to simplify global expansion through a revolutionary technology that removes the barriers of globalization to give our customers the speed to market to expand their business, onboard employees, manage compliance, and pay worldwide. Global expansion is becoming more and more a part of the modern workplace, and with that comes things like remote work and spread-out teams. As a truly global company, they take care of their client’s employees worldwide. From Chicago to Manila, from Johannesburg to Delhi and Hong Kong,  provide top-class benefits to all the employees served every day. With offices all around the world and teams spread out between multiple time zones, you too can benefit from the “Glocal” team strategy, giving potentially you the flexibility you need to do your very best work the best way you can.

 In this role, you will be:

·       Participate in the design reviews and build data analytics and reporting platform in the cloud

·       Implement batch & near real-time analytical solutions, scalable data pipelines, prototypes, and proofs of concepts

·       Implement tools to empower data scientists and analysts

·       Develop solutions to maintain data quality

·       Mentor junior and medior members of team to follow best practices

·       Conduct code reviews

·       Work together with data scientists/analysts to build state-of-the-art analytical solutions

·       Drive low-level design efforts

The ideal candidate will have:

4+ years of Data Engineering experience
Agile experience and an understanding of CI/CD best practices
Development experience in Spark (Python, Scala or Java)
Experience in End-to-end, near real-time ETL/ingestion pipelines, streams
A working understanding of distributed systems/computing
Knowledge of Data Lakes and Data Warehouses, as well as SQL and NoSQL technologies
Confidence with Microsoft Azure and Power BI
Experience with mentoring Junior Engineers

If this sounds like you, or you would simply like to know more, feel free to contact me on +442037639529 or kwestmaas@skillfindergroup.com