Data Engineer

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.

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.

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.

This job posting is for a Data Engineer/Software Developer 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, 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.
• Leverage Terraform to automate the provisioning, orchestration and management of various AWS infrastructure components.
• Analyze, diagnose and identify bottlenecks in data workflows
• Improve the quality and reliability of data by using different approaches to combine different datasets 
• 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.
• Productionize data models
• Manage and prioritize workload
• Advise on data best practices

To be successful in this role, you must have:

• Strong team player who supports their team in all regards and embraces ownership, accountability, and responsibility for the team’s work
• Experience influencing others, advocating for technical excellence while being open to change when needed
• Strong General Programming Skills
• Strong analytical skills in analyzing large amounts of data to drive insights 
• Solid experience with Python. 
• Proficiency in other programming languages
• Proven ability to learn new ones very quickly.
• Solid engineering foundations (good coding practices, good architectural design skills)
• Experience working with SQL in advanced scenarios that require heavy optimization
• 5+ years of experience with large-scale data engineering with an emphasis on analytics and reporting
• Experience building cloud-scalable, real-time and high-performance Data Lake solutions.
• Proficiency in designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)
• Experience developing solutions within Cloud Services (AWS, GCP, or Azure)
• Experience with NoSQL databases such as Apache HBase, MongoDB, or Cassandra.
• Experience in data streams processing technologies including Kafka, Spark Streaming, etc
• Familiarity and exposure to Dremio DB
• Familiarity and exposure to Data.World
• Familiarity with Iceberg
• Advanced English level.

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 benefits, we debuted on Quartz’s list of the Best Companies for Remote Workers and ranked 5th on Expansión’s Super Workspaces 2021 list.

Our Global Family

To support the global nature of our business and help our employees grow beyond their technical skills, we offer free virtual English and Spanish language classes and provide immigration support when applicable. Before COVID-19, we had a robust Work Abroad program in place, which we plan to continue once it’s safe. 

#AllAreWelcomeHere

Wizeline creates and fosters a diverse, inclusive, and harassment-free workplace where everyone can achieve their potential. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.