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.
• 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:

• • Minimum 10+ years of experience in data engineering with an emphasis on data processing & minimum 3 years’ experience as data architect/designing data engineering solutions.
  • Hands on experience leading large-scale data related and/or database projects.
  • Experience in building or optimizing data pipelines, architectures, and data sets.
  • Architect data ingestion, processing solutions such as ETL, ELTs on a wide set of data storage solutions.
  • Strong experience with Azure cloud technologies say- Azure Data Bricks, Lake house architecture.
  • Cloud database technologies, data ingestion, data storage, real-time processing, and analytics.
  • Database and analytical technologies like MongoDB, Elasticsearch, DynamoDB, Data Lake design, Data Warehouse design, BI reporting and Dashboarding.
  • Experience with data transformation and manipulation using Azure Databricks or similar tools.
  • Solid scripting experience with Python, Py-spark /R, Scala, Dotnet
  • Cloud storage, data stream processing, serverless interactive queries, big data platform in cloud, serverless integration service, cloud data warehouse, Kafka, Elasticsearch, MongoDB etc.
  • Experience in dockers, Kubernetes, & building Microservices
  • 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,
  • Flexible to learn on new programming languages/technologies based on project needs.
  • Independent and able to manage and prioritize workload.
  • Ability to guide the team on technical aspects to get desired project results.
  • Ability to adapt quickly and positively to change.

   

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