Associate Data Engineer

Job Description

Maersk is a $30bn organization with 100,000 people that move 20% of the world s trade, and it is the largest shipping and logistics company in the world. We are transforming our company into a global integrator of container logistics.We are offering you a unique opportunity to be part of that journey and to contribute by creating solutions for an industry leading organization. This is an opportunity to join Maersk Group s Technology team and help drive visible, recognizable change as a Data Engineer for this globally respected, industry leading brand.Maersk is on a digital journey and entire company is going through major transformation. BI department are front runners within One Technology on a fully agile delivery model moving from a classic data warehouse into cloud based big data platform.Show More We offerMaersk, the worlds largest shipping company, is transforming into an industrial digital giant that enables global trade with its land, sea and port assets. We are the digital and software development organization that builds products in the areas of predictive science (forecasting, customer and market analytics), optimization and IoT. This position offers the opportunity to build your engineering career in a data and analytics intensive environment, delivering work that has direct and significant impact on the success of our company. Global data analytics delivers internal apps to grow revenue and optimize costs across Maersks Transport & Logistics companies. We practice agile development in teams empowered to deliver products end-to-end, for which data and analytics are crucial assets. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We are an open-minded, friendly and supportive group who strive for excellence together A.P. Moller - Maersk maintains a strong focus on career development, and strong team members regularly have broad possibilities to expand their skill set and impact in an environment characterized by change and continuous progressShow More Key responsibilitiesAs a Data Engineer, you will embed directly into product delivery teams, exerting direction on development and technical execution. The products we build directly impact our business, and with strong support from your fellow team members, together you will drive digital transformation at one of the largest companies in the world. You should be comfortable in working across wide range of data technologies and platforms (Hadoop, mapreduce, Spark, SQL and NoSQL, job orchestration tools, cloud tech, programming in scala and python is a strong plus), and understand the challenges in working with large and complex data ecosystems. You will be working directly with product managers, data scientists and developers to ship products, and you will need to be as excited about reaching across into adjacent domains as they are about curating and parsing the business meaning of data Your responsibilities will be to: Represent the data engineering function within the context of your product team, providing accurate technical choices and communication around our data and analytical needs Provide contributions to the technological foundation upon which Maersk s next generation of digital products will be built Deliver work within a high-impact team while fostering a collaborative and inclusive environmentShow More We are looking for4 years of industry data engineering experience, ideally in an analytics intensive environment. You possess a bachelor s degree in computer science (or equivalent experience). The ideal person will possess an advanced degree with a focus on distributed systems or cloud technologies You have deep experience leveraging PaaS & IaaS technologies in cloud platforms (AWS, GCP, Azure). Excellent track record of delivery through data technologies (SQL, Hadoop), and languages like Python, R, Ruby, Java, Scala. Extensive experience in using BI tools / Big data solutions on MS Azure cloud (Spark / PySpark / Spark SQL / Scala). Have basic data science experience in building regression models, using classification techniques and conducting driver analyses Minimum 2+ years of working experience in MS Azure PaaS Services - Data Bricks, Data Factory, & Analysis Service. Exceptional in data analysis & data modelling. Fluent proficiency in both written and oral English Good to Have Exposure to MSBI on cloud, Azure analysis services, Azure data factory etc Finance Domain Knowledge ,

Keyskills :
sqljavadata warehousinginformaticapythonbig datadata sciencedata analysisdata analyticsdata solutionscomputer sciencedata engineeringagile developmentanalysis services