Posted:1 day ago|
Platform:
Work from Office
Full Time
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 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 Data Factory (ADF), Informatica, and Airflow 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 andCPUs.• 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 datahub.• Operationalize scalable data pipelines to support data science and advanced analytics.• Optimize customer data science workloads and manage cloud services costs/utilization.
Zebra Technologies
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