Data Engineer

Job description

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.

Desired profile

Qualifications :

Required Qualifications:

·  3+ years of experience as an Azure data engineer
·  Strong experience with Azure cloud technologies, including Azure Data Factory, Azure Data Bricks, Cosmos DB.
·  Experience with data transformation and manipulation using Azure Databricks or similar tools
·  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 Workflow,
·  Architect data ingestion solutions such as ETL, ELT’s on a wide set of data storage solutions.
·  Solid scripting experience with Python, and PowerShell , Java (Secondary programming )
·  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:

·  Experience on data integrations with API's.
·  Exposure to Azure Functions.
·  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).