:About the Role:Grade Level (for internal use): 09The Role: Data EngineerThe Team: Commodities at Sea Data Analytics team, is responsible for maintaining and improving data transformation pipelines, built in python and Large Scale data analytics tools. This pipeline combines different types of data (Ships data, external vendors data, ships lineup information, etc.) and gives the ocean borne commodity flows data. Currently we are a team of 9 data engineers, who work closely with business to make sure the product offering is inline with current market dynamic. Team members are very efficient with data munging, cleaning, standardization using Python, Large Scale data analytics tools, R, SQL, etc.The Impact: We are expanding the product offerings and need this backfill quickly so that we can deliver on time. This back-fill will help us in ramping up the planned development work.What\'s in it for you: The person will gain the better understanding of python and pySpark to do data munging. You will also learn about the ocean borne commodity flow business, which is very critical part of global supply chain dynamic.Responsibilities:
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