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  • 0 - 1 Years
  • Posted : above 1 month

Job Description:

The Economist Intelligence Unit (EIU) is a world leader in global business intelligence We help businesses, the financial sector and governments to understand how the world is changing and how that creates opportunities to be seized and risks to be managed At our heart is a 50 year forward look, a global forecast of the majority of the worlds economies, we seek to analyse the future and deliver that insight through multiple channels and insights, allowing our clients to take better trading, investment and policy decisions

We are recruiting a Data Engineer to accelerate The Economist Intelligence Unit (eiucom) drive towards becoming a digitally enabled business at scale We are actively changing our landscape, from supporting desktop data tools, Excel analysis and visualisation pipelines to Cloud scale big data analysis on AWS Effective Data management is essential for the research and analysis division of the Economist Group

Were changing, embedding alternate data sources such as GPS and satellite data into our forecasting, products will increasingly be tailored to individual clients, driven by some of the most innovative data in the market A highly collaborative team of Product Managers, Customer Experience and Product Engineering is being created with a focus on creating business and customer value driven by real time analytics alongside our traditional products

Accountabilities How you will contribute

Build data pipelines Architecting, creating and maintaining data pipelines and ETL processes via Microsoft Technologies such as Excel, Access and SQL utilising Visual Studio for Office
Support and Transition Support and optimise our current desktop data tool set and Excel analysis pipeline to a transformative Cloud scale Big Data Architecture environment
Work in an agile environment within a collaborative agile product team using Kanban
Collaborate across departments Work in close relationship with data science teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements
It would be an advantage if you have experience working with products that harness real-time, high frequency data sets as well as more traditional data sources

Experience, skills and professional attributes The ideal skills for this role include

Experience in Microsoft Excel, VBA and SQL programming
MS SQL Server (data modelling, T-SQL, and SSIS) for managing business data and reporting
Ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
A combination of IT skills, data governance skills, analytics skills and economics knowledge

Experience with advanced analytics tools for Object-oriented/object function scripting using languages such as C#, R, Python
An advanced degree in computer science (MS), statistics, applied mathematics (PhD), information science (MIS), data management, information systems, information science (postgraduation diploma or related) or a related quantitative field or equivalent work experience
Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Advertising/PR/Event Management, Entertainment/Media
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 03rd Jun 2020

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