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Data Engineer



Data Engineer

Descripción de empleo

Job Advert

If you can solve a Rubik’s cube, spent hours playing with Lego or ever built a new world in Minecraft, you could be the type of Data Engineer we need.

Webhelp is recruiting an analytical thinker with that wow factor to join our team in Bangalore to support developing modern data warehouse solutions using Azure Stack, as well as designing information systems and work-flow diagrams.

If you have the drive to and create innovative big data solutions to drive revenue through a technology enabled strategy then don’t miss this opportunity and apply today.

What you’ll be doing
- Designing, implementing, and supporting key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view
- Retrieving and analysing data using SQL, Excel, and other data management systems
- Creating ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting
- Developing a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to solve particular business problems
- Creating data tools and web/digital/mobile applications for analytics and data scientist team members that assist them in building and optimising our analytics, including deployment into operations and client systems
- Assembling large, complex data sets that meet functional / non-functional business requirements
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure and the continually emerging big data technologies
- Embedding processes to ensure we regularly check and improve data quality of our core analytics data sources and warehouse
- Assisting with data-related technical issues and support their data infrastructure needs
- Creating and maintaining optimal data pipeline architecture and work with data and analytics experts to strive for greater functionality in our data systems
- Building analytics tools that utilise the data pipeline to provide actionable insights into customer experience, operational efficiency and other key business performance metrics

What you’ll need
- Minimum 5 years’ of experience in a Data Engineer role with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tool, data security, Onion, Repository, Builder, MVC, Faade, Factory or Singleton
- Knowledge of ASP.Net, C#.NET, LINQ, JQuery, Java Script, Angular DataTables, Ajax, XML, Web Services and Web API
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Experience leading and designing data warehousing and analytics project infrastructure, and integrating technical components including using Azure
- Experience with production BI implementation in the Cloud
- Exposure to reporting tools such as Qlikview or Power BI (Desirable)
- Hands-on expertise with application design, software development and automated testing, preferably in a mobile/digital space
- Ability to effectively interpret technical and business objectives and challenges, and articulate solutions
- Experience building and optimising big data pipelines, architectures and data sets

After applying, you will be sent a link to complete a quick online chat. We don’t want you to miss out on the opportunity so please check all of folders for the link after applying. Take this opportunity to join our collaborative team of game-changers today.


Tipo de empleo
A tiempo completo
Indianapolis, IN, United States
Análisis de datos
Fecha de incorporación
Lo antes posible
Duración del contrato