Data Engineer, I

Remote Work: Hybrid 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 a 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 a 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.

A Data Engineer will be responsible for understanding the client's technical requirements, design and

build data pipelines to support the requirements. In this role, the Data Engineer, besides developing the

solution, will also oversee other Engineers' development. This role requires strong verbal and written

communication skills and effectively communicate with the client and internal team. A strong

understanding of databases, SQL, cloud technologies, and modern data integration and orchestration

tools like Azure Databricks Workflows, Asset Bundles, Delta Live Tables etc are required to succeed in this role.

Responsibilities:

• 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

Qualifications:

• Minimum Education:
• Bachelors, Master's or Ph.D. Degree in Computer Science or Engineering.
• Minimum Work Experience (years):
• 2 years of experience programming with at least one of the following languages: Python,

Scala, Go.

• 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.

• 2 years of experience with relational databases or NoSQL databases running in Linux

environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis).

• Key Skills and Competencies:
• Experience working with AWS / Azure / GCP environment is highly desired.
• Experience in data models in the Retail and Consumer products industry is desired.
• Experience working on agile projects and understanding of agile concepts is desired.
• Demonstrated ability to learn new technologies quickly and independently.
• Excellent verbal and written communication skills, especially in technical communications.
• Ability to work and achieve stretch goals in a very innovative and fast-paced environment.
• Ability to work collaboratively in a diverse team environment.
• Ability to telework
• Expected travel: Not expected.

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