Analytics of large segments of the US/ Europe / Asia retail markets (Amazon, Walmart, etc). With the help of self-written bots, information is collected, then aggregated and transformed according to business requirements. After that, this data can be used for visualization using tools like PowerBI

BS/MS degree in Computer Science
Good knowledge of ETL

Experience in Python Selenium module

Experience in Apache Spark (PySpark)
Experience with integration of data from multiple data sources
Experience in SQL datastores
Experience in Azure Cloud
Understanding of CI/CD process
Excellent understanding of Agile software development, software lifecycle, testing methodologies
Good spoken and written English, Upper-Intermediate

Job Responsibilities
Participate in full-cycle development of data management pipeline
Design and develop complex data warehouse solutions and respective ETL subsystem
Follow high standards of development processes to guarantee the delivery quality
Work closely with product management to turn data into critical knowledge required for making business decisions

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. By leveraging Agile / Lean MVP methods, cutting-edge technologies, and an integrated approach to experience design and complex engineering, we empower global brands such as Microsoft, BMC, Coca Cola, Samsung, Physio Control, and Roku to develop the “next big thing” in their markets. GlobalLogic is headquartered in Silicon Valley and operates design and engineering centers around the world, where we are continuously recognized as a top innovator and employer by organizations like Zinnov and Glassdoor.

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Job posted on 14 September 2021
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