About Schneider Electric

Schneider Electric SE is a French multinational company that specializes in digital automation and energy management. Schneider Electric is a publicly traded Fortune Global 500 company, the company posted revenues of €34.2 billion. It addresses homes, buildings, data centers, infrastructure and industries, by combining energy technologies, real-time automation, software, and services. Schneider Electric is the parent company of APC, Aveva, L&T E&A among so many.

Schneider electric truly global with presence in more than 100 countries with employee base between 1.5L to 2L employees.(bigger user base than most consumer products)

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate and we ‘embrace different’ as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

 

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

 

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct

 

 

 

Responsibilities\:

Design and implement highly available and scalable Azure cloud data solutions that meet business requirements.Collaborate with cross-functional teams to design and implement solutions that meet business requirements.Participates in the testing process through test review and analysis.Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.

Education

Bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or Machine Learning.