Data Engineer, I

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

 

You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

A Data Engineer will be responsible for understanding the client's technical requirements, design andbuild data pipelines to support the requirements. In this role, the Data Engineer, besides developing thesolution, will also oversee other Engineers' development. This role requires strong verbal and writtencommunication skills and effectively communicate with the client and internal team. A strongunderstanding of databases, SQL, cloud technologies, and modern data integration and orchestrationtools like Azure Databricks Workflows, Asset Bundles, Delta Live Tables etc are required to succeed in this role.

• Play a critical role in the design and implementation of data platforms for the AI products.
• Develop productized and parameterized data pipelines that feed AI products leveraging GPUs and
CPUs.
• Develop efficient data transformation code in spark (in Python and Scala) and Dask.
• Build workflows to automate data pipeline using python and Argo.
• Develop data validation tests to assess the quality of the input data.
• Conduct performance testing and profiling of the code using a variety of tools and techniques.
• Build data pipeline frameworks to automate high-volume and real-time data delivery for our data
hub.
• Operationalize scalable data pipelines to support data science and advanced analytics.
• Optimize customer data science workloads and manage cloud services costs/utilization.

• Understanding of Azure Databricks is preferred

• Should have worked with version control tools like Git/Github and should have reasonable understanding of best practices.

Bachelors, Master's or Ph.D. Degree in Computer Science or Engineering.
• Minimum Work Experience (years):
o 2 years of experience programming with at least one of the following languages: Python,
Scala, Go.
o 2 years of experience in SQL and data transformation
o2 years of experience in developing distributed systems using open source technologies
such as Spark and Dask.
o 2 years of experience with relational databases or NoSQL databases running in Linux
environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis).
• Key Skills and Competencies:
o Experience working with AWS / Azure / GCP environment is highly desired.
o Experience in data models in the Retail and Consumer products industry is desired.
o Experience working on agile projects and understanding of agile concepts is desired.
o Demonstrated ability to learn new technologies quickly and independently.
o Excellent verbal and written communication skills, especially in technical communications.
o Ability to work and achieve stretch goals in a very innovative and fast-paced environment.
o Ability to work collaboratively in a diverse team environment.

o Ability to telework

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.