Job Description

About Schneider ElectricSchneider 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 \xe2\x82\xac34.2 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 hereSchneider 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 conductResponsibilities:

• 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.

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

• 6+ years of experience as an Azure data engineer
• Strong experience with Azure cloud technologies say- Azure Data Bricks, Lake house architecture, datalake, Cosmos DB, Eventhub, Servicebus, Topic, blob storages, , azure functions, AKS, redis cache, keyvault,
• Experience with data transformation and manipulation using Azure Databricks or similar tools
• Solid scripting experience with Python, PowerShell, Pyspark /R, Scala, Java
• Experience with streaming data platforms - Kafka
• Experience in dockers, Kubernetes, & building Microservices
• Good working knowledge with Azure Infrastructure
• Experience on data integrations with API's.
• Experience working in an Agile development environment
• Familiar with a variety of the field's concepts, practices, and procedures and a strong focus on data integrity.
• 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.
• Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions &Workflow,
• Architect data ingestion solutions such as ETL, ELT's on a wide set of data storage solutions.
• Flexible to learn on new programming languages/technologies based on project needs
• Flexible to learn & work with other cloud platform aws, google
• Independent and able to manage and prioritize workload.
• Ability to guide or lead junior resources to get desired project results.
• Advanced troubleshooting skills to drive to root cause
• Ability to adapt quickly and positively to change.
• Ability to manage ambiguity and solve undefined problems

• Observability expertise with Dynatrace is add-on

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