Data Engineer

As a Data Engineer at Zebra, you will play a crucial role in understanding the technical requirements of clients and designing and constructing data pipelines to fulfill those requirements. In addition to developing solutions, you will also supervise the development of other Engineers. Strong verbal and written communication skills are necessary to effectively interact with clients and internal teams. The role demands a solid understanding of databases, SQL, cloud technologies, ecosystems like Databricks and GCP, version control tools such as Github, and modern data integration and orchestration tools like Databricks workflows on Azure/GCP and Airflow. Knowledge of Agentic AI frameworks like Langchain or tools like Crewai is considered a plus. Your responsibilities will include actively participating in the design and implementation of data platforms for AI products, constructing productized and parameterized data pipelines that fuel AI products using GPUs and CPUs, writing efficient data transformation code in Spark (Pyspark, Spark SQL) and Dask, developing workflows to automate data pipelines using Python, creating data validation tests to evaluate input data quality, adhering to best practices of Unit testing and Integration testing, conducting performance testing and profiling of code, building data pipeline frameworks to automate high-volume and real-time data delivery, operationalizing scalable data pipelines to support data science and advanced analytics, optimizing customer data science workloads, and managing cloud services costs and utilization. Knowledge of the Retail/CPG Domain is advantageous. For qualifications, a minimum of a Bachelors, Master's, or Ph.D. Degree in Computer Science or Engineering is required. You should have at least 1+ years of experience programming in languages like Python, Scala, or Go, 1+ years of experience in SQL and data transformation, 1+ years of experience developing distributed systems with open-source technologies like Spark and Dask, and 1+ years of experience with relational or NoSQL databases in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis). Experience in AWS/Azure/GCP environments, data models in the Retail and Consumer products industry, agile projects, learning new technologies quickly, excellent verbal and written communication skills, working in innovative and fast-paced environments, collaborating in diverse teams, teleworking, and achieving stretch goals are essential competencies. Please note that to protect candidates from fraudulent activity, Zebra's recruiters will only contact you via @zebra.com email accounts. Applications are exclusively accepted through the applicant tracking system, and personal identifying information is only collected through that system. The Talent Acquisition team will not request personal information via email or outside the system. If you encounter identity theft issues, contact your local police department.,