Data Engineer at Wakefit in Bengaluru

October 25, 2024
Application deadline closed.

Job Description

It s an exciting time to be a builder.

Constant advances in technology are creating an exciting new world for those who understand the value of data.As a data engineer, you ll be handling the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition.

You should also know the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.

 

Responsiblities:

– Design, construct, install, test and maintain data management systems.

– Build high-performance algorithms, predictive models, and prototypes.

– Ensure that all systems meet the business/company requirements as well as industry practices.- Integrate up-and-coming data management and software engineering technologies into existing data structures.

– Develop set processes for data mining, data modeling, and data production.

– Create custom software components and analytics applications

.- Research new uses for existing data.

– Employ an array of technological languages and tools to connect systems together.

– Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals

.- Install/update disaster recovery procedures.- Recommend different ways to constantly improve data reliability and quality.

 

Requirements:

– Bachelor s degree in computer science, software/computer engineering, applied mathematics, or physics statistics.

– Experience in a related field with real-world skills and testimonials from former employees

.- Possible work experience and proof of technical expertise

.- You may also consider a Master s degree in computer engineering or science in order to fine-tune your skills while on the job.
(Although a Maste s isn t required, it is always appreciated)

.- Intellectual curiosity to find new and unusual ways of how to solve data management issues.- Ability to approach data organization challenges while keeping an eye on what s important.