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  • 5 - 8 Years
  • Posted : above 1 month

Job Description:

The Economist Intelligence Unit (EIU) sets the global standard for providing strategic analysis in matters of public policy for governments, NGOs, companies and international institutions in more than 200 countries EIUs expertise in country analysis, macroeconomic principles and forecasting methodologies has provided decision makers with critical information since 1946

We are recruiting a Senior Data Developer to join our rapidly growing Digital team in Gurgaon As we look to accelerate our drive towards becoming a digitally enabled business, we are actively changing our landscape, from supporting desktop data tools, Excel analysis and visualisation pipelines to Cloud scale big data analysis on AWS

The bulk of the developers work would be in building, managing and optimising data pipelines and then moving these data pipelines effectively into production for key data consumers such as our economists, analysts and data scientists

Data developer also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalising these integrated and reusable data pipelines This would enable faster data access, integrated data reuse and vastly improved time-to-solution for EIU data and analysis initiatives

This role will be part of our Gurgaon team, which is connected to a wider Global presence across London and New York Some flexibility will be required to work with some crossover with London and New York

Accountabilities How you will contribute

Build data pipelines Architecting, creating and maintaining data pipelines

Develop Data Managements and Workflow extensions in MS Excel applications (Example Visual Studio tools for Office)
Develop database features in MS Access and MS SQL Server (data modelling, T-SQL, and SSIS) for managing business data and reporting
Work with the Website development team to deliver data and content to the customers in interactive and innovative ways
Define Application architecture and explore & implement new technologies

Drive Automation through effective metadata management The use of innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity

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

Maintain and upgrade EIUs Econometric forecasting system in MS Excel and MS Office Add-Ins
Troubleshoot and resolve issues with the daily publishing of EIU data; manage data flow systems, databases and integration with the EIU content management system and websites
Monitor and manage EIUs scheduled data feeds; ensure on-time delivery to EIU data partners via FTP, SFTP, and Data APIs

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

Project management and planning

Working in Agile Scrum and Kanban process where team communication and flexibility are highly valued
Review and estimate business requirements and user stories
Break down user stories into development tasks
Participate in design sessions and provide technical solutions

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

Strong experience with Microsoft Excel, VBA programming
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management
Enterprise application development experience Microsoft visual studio
Object Oriented Programming (OOP)
Source Code Control SVN, Git

5 years development experience with MS Excel with integration of C#NET
MS Access
MS SQL Server

Project experience in a professional work setting 5 years working in an organisation
2 years as the technical expert within a cross functional team made up of data scientists, researchers and analysts

Additional technical skills is a plus Experience with handling time series and advance forms of data (Example satellite data)
Understanding of popular open-source and commercial data science platforms such as Python and R is a strong plus but not required/compulsory
Experience working with popular data discovery, and BI software tools like Tableau, Qlikview and PowerBI
Windows/ Net Services

Extreme proficiency in setting up, optimizing, testing, and debugging applications to ensure operation, quality and conformance to creative and engineering specifications
Any degree with strong quantitative elements (IT, mathematics, statistics, engineering etc) or equivalent experience
The ideal candidate will have a combination of IT skills, and economics knowledge with a technical or computer science degree

If you are an experienced Application Developer with previous experience of handling a large set of data and developing and integrating enterprise level applications, wed love to hear from you Please submit your CV with a covering note identifying why you feel youd make a great addition to the team, along with your salary expectations

In return, we provide a supportive and progressive environment with a wide range of opportunities for you to grow both personally and professionally Working hours are flexible to work across UK hours, with some crossover to New York

The Economist Group values diversity We are committed to equal opportunities and creating an inclusive environment for all our employees We welcome applicants regardless of ethnic origin, national origin, gender, race, colour, religious beliefs, disability, sexual orientation or age

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 : 14th Apr 2020

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