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WhiteBlue Cloud Services
WhiteBlue Cloud Services cover picture
WhiteBlue Cloud Services logo

WhiteBlue Cloud Services

http://www.whiteblue.in
Founded :
2020
Type :
Services
Size :
20-100
Stage :
Profitable

About

WhiteBlue Cloud Services, is a Premium IT Services Company which focusses on Cloud, Data and AI. It is built by Cloud specialists to lead Cloud Transformation journey which help customers to attain their specific goals. We understand each customer is unique and their aspirations to achieve sustainable growth needs to be heard well before strategizing Cloud journey. WhiteBlue provides Customer Centric Consulting (C3) to customers and support with experienced, certified, and passionate cloud specialists to make our customers successful with speed. WhiteBlue is very proud with its Innovation division which brings in Outcome Obsessed (O2) Solutions for specific market/customer problems with the help of cutting/leading-edge cloud services. We are now a Microsoft Gold Partner on Application Development (Azure Cloud). Only the top 1% of Microsoft partners manage to attain the GOLD partner status and WhiteBlue is proud of the accomplishment. Being a Microsoft Gold partner, WhiteBlue is better equipped to add significant value to customers in their cloud journey. We continuously re-invent ourselves to help our customers with latest technology solutions to make them market leaders in their chosen area.
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Jobs at WhiteBlue Cloud Services

WhiteBlue Cloud Services
at WhiteBlue Cloud Services
Sugitha K
Posted by Sugitha K
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Remote only
2 - 5 yrs
₹10L - ₹20L / yr
Data engineering

A candidate with 2 to 6 years of relevant experience in Snowflakes Data Cloud.

Mandatory Skills:

• Excellent knowledge in Snowflakes Data Cloud.

• Excellent knowledge in SQL

• Good knowledge in ETL

• Must have working knowledge of Azure Data Factory

• Must have general awareness of Azure Cloud

• Must be aware of optimization techniques in Data retrieval and Data loading.

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