QA Data Engineer
WizelineAbout the role
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 near 2,000 people spread across 25+ countries. We understand that great technology begins with outstanding 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 proud to contribute to local economies by developing technology ecosystems in places like Mexico, Colombia, and Vietnam. We also 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 2022, Academy has served more than 28,000 students across 675 courses. Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.
Your Day-to-Day
This job posting is for 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, and managing structured and unstructured data while melding existing warehouse structures.
- Analyze, diagnose and identify bottlenecks in data workflows
- Participate in demos to clients and 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:
- Data QA will focus primarily on Unit Testing Spark Apps/EMR & data engineering.
- Functional testing as well since we are building a UI and E2E product.
Frameworks/Platforms:
- Spark Apps/EMR
- AWS
- Data Analytics
- Pytest
TechStack:
- Python
- Spark
- Java
Nice to have
- Experience in Media & Entertainment - Ad Technology space dealing with currency and measurement of TV advertising campaigns (e.g. impressions), not that it is required but it gives us an advantage over other partners if we have anyone familiar with this space.
- Dashbords AI/ML
Why You Should Apply
Still not convinced you should apply? Here are some of the things that make Wizeline different from other technology services companies:
Our Values
At Wizeline, we value innovation, community, and ownership. Our commitment to diversity, inclusion, and respect fosters an environment where everyone does well and does good. We're proud to be recognized by the Human Rights Campaign Foundation in response to our inclusive corporate policies and best practices for LGBTQ+ employees.
Our Culture
We offer exceptional career growth and learning opportunities to our employees with skill development workshops, mentoring programs, and support for side projects or entrepreneurial work. We ranked 7th on Expansión’s Super Companies 2021 list.
Our Benefits and Perks
We offer competitive compensation and employee-centric benefits, including industry-leading maternity and paternity leave, wellness programs, and remote work opportunities. All Wizeliners have access to continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field.
In recognition of our superb employee benefi
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