.**Data Engineer**:**The Company**:Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.We thrive in solving our customer's challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.**Our People**:At Wizeline, we are a team of over 2,000 people spread across 25+ countries. We understand that great technology begins with great talent and diversity of thought. Our business was built on doing well and doing good, and our values of Ownership, Innovation, Community, and Diversity & Inclusion are embedded within our company's DNA. We are committed to offering our Wizeliners the opportunity to create their career path and develop the skills needed to achieve their personal goals.**Community Impact**:We are invested in making a positive impact in our communities. That's why we created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers. As of 2021, Academy has served more than 27,000 students across 624 courses. Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.**The Role: Data Engineer**:We are looking for Senior Data Engineers to drive the architectural design, implementation plan, best practices, and testing plans for projects involving terabytes of data, which will serve as the foundation for advanced analytics and machine learning tasks to be performed by data scientists on top of that infrastructure.**Your Day-to-Day**:This job posting is for a Data Engineer on our team. Here's what you'll be doing in your day-to-day work:- Design and implement product features in collaboration with product owners, report developers, product analysts, architects, and business partners within an Agile / Scrum methodology.- Design and implement data platforms for large-scale, high-performance, and scalable requirements, integrating data from several data sources, managing structured and unstructured data while melding existing warehouse structures.- Analyze, diagnose and identify bottlenecks in data workflows- Participate in demos to clients as well as requirements elicitation and translation to systems requirements (functional and nonfunctional).- Constantly monitor, refine and report on the performance of data management systems.**Are You a Fit?**:Sounds awesome, right? Now, let's make sure you're a good fit for the role.**Must-have Skills**:- Strong General Programming Skills.- Solid engineering foundations (good coding practices, good architectural design skills).- Experience with Spark