Data & AI Engineer

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.

The Data & AI 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 & AI 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 Data Factory (ADF), Informatica, and Airflow are required to succeed in this role.

Essential Duties and Responsibilities:

• Plays a critical role in the design and implementation of data platforms for the AI products.
• Develops productized and parameterized data pipelines that feed AI products leveraging GPUs and CPUs.
• Develops efficient data transformation code in spark (in Python and Scala) and Dask.
• Builds workflows to automate data pipeline using python and Argo.
• Develops data validation tests to assess the quality of the input data.
• Conducts performance testing and profiling of the code using a variety of tools and techniques.
• Builds 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.
• Optimizes customer data science workloads and manage cloud services costs/utilization.

Minimum Qualifications:

• Bachelor's degree or above in Computer Science or Engineering.
• 1+ years of experience programming with at least one of the following languages: Python, Scala, Go.
• 1+ years of experience in SQL and data transformation.
• 1+ years of experience in developing distributed systems using open source technologies such as Spark.
• 1+ Experience in building Agents, complete understanding in Ontology and Data security.
• 1+ years of experience with relational databases or NoSQL databases running in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis).

Preferred Skills and Competencies:

• Experience working with 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.