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

• 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.

• 5+ years of experience as an Azure application engineer
• Solid scripting experience with .net, C#, and/or Python
• Experience in dockers, Kubernetes, Microservices, REST API
• Strong experience with Azure cloud technologies, including Azure Data Factory, Azure Data Bricks, Cosmos DB.
• Good working knowledge with Azure Infrastructure, security, token management, service principals, managed identity, authentication, authorization management
• Experience working in an Agile development environment.
• Experience in Event Driven Microservice architecture.
• Experience in using NoSQL databases and distributed messaging systems such as Redis, and Kafka in the context of low latency and high transaction volume systems.
• Demonstrates strong written and oral communications skills. Ability, desire, and focus to meet deadlines Demonstrates ability to work with all levels of individuals.
• Demonstrates organizational skills while working on multiple projects; and communicate effectively within the team.
• Advanced troubleshooting skills to drive to root cause.
• Ability to adapt quickly and positively to change.
• Ability to manage ambiguity and solve undefined problems.

• Ability to guide or lead junior resources to get desired project results.
• Independent and able to manage and prioritize workload.
• Good working knowledge with Azure Infrastructure, security, token management.
• Good knowledge of Timeseries databases (for example; InfluxDB, TimescaleDB).