Expert Data Engineer

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)

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.

Required Qualifications:

• 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

Nice to Have:

• Observability expertise with Dynatrace is add-on