Keeping the data flowing and readily available to solve problems that need immediate solutions is core to what you’ll do across Finance. Your passion for big data challenges around innovation, emerging technologies and legacy environments drives your desire to design and implement next-gen solutions to traditional business challenges. You’re ready to step up and take charge of developing data-driven processes that improve the functionality for your stakeholders across Finance and result in leaner operations, processes and profitability.
Experience preferred within a Big Data Azure environment
Experience with cloud, container and micro service infrastructures
Technical expertise with emerging Big Data technologies, such as: Python, Scala, Spark, Hadoop, Clojure, Git, Flink, Elasticsearch, SQL, scikit-learn, TensorFlow, and DNB (databricks); visualization tools: Tableau and PowerBI
A Bachelors in Computer Sciences or similar disciplines
Developing well-designed modular code that’s usable and easily maintained
Creating proprietary internal libraries of shareable functions to establish a standardization for engineering work
Engineering data-centric solutions from scratch through the incorporation of ongoing emerging technologies
Working with an untamed data lake and turning into highly functional, pristine data sources
Staying abreast of emerging technologies, architecture patterns, programming languages and ML algorithms and assuming the mentorship and training of other team members
Strong partnership and collaboration within the Finance Analytics Hub - Business Translators, Data Scientists, Agile Delivery teams and 3rd party contractors.
Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.
Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
Best-in-class learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus.