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Meta is an IT Consulting Company which has been in the market for 30 years. Meta is consistently choosing to help customers overcome their IT challenges. The company can provide consulting expertise to support IT strategy, software development, outsourced operations, staff augmentation, and SAP Projects. With our experience, we can deploy complete agile projects with coaches and scrum masters. We will assist you to select the right technologies for your company's needs aligned with your digital road map. We ensure quality with our commitment, attested through our Level 3 version 2.0 CMMI certification.
Additionally, Gartner recognized that Meta always provides quality and value to its customers. As a Silver SAP provider and an SAP partner for the last 20 years, Meta continually trains staff to prepare them for the next big challenge. Meta implemented the first public S/4 HANA system in the World and the first S/4 HANA implementation with a private company in Latin America. This experience provides confidence that our teams execute outstanding results. Meta can offer a real S/4HANA testbed with your data to test drive your future SAP system. Meta can support your existing SAP instances, help with technical expertise in your transformation, and provide a complete transformation team. We at Meta always work hard to see our clients succeed. Our purpose is to promote human growth with technology.
We're consistently choosing to help customers overcome their IT challenges providing consulting expertise to support IT strategy, outsourced operations, staff augmentation and digital transformation for companies such as ArcelorMittal, Air Liquide, Volvo Group, MLSE and many more. Take a look at our website, you can see some of the exciting work we are doing: https://www.metait.ca/
Responsibilities
Implement Data storage solutions.
Manage and develop Data processing.
Monitor and optimize Data solutions.
Design Azure Data storage solutions.
Design Data processing solutions.
Design for Data security and compliance.
Requirements
At leats 4 years of experience with Data Engineering;
At least 2 years of experience with Azure Datawarehouse, Azure Data Factory, Synapse, Azure DevOps, Azure Repository;
Knows to model data in Azure Analysis Services.
Nice to Have
Microsoft Certified: Azure Data Engineer Associate
Hiring Methods And Other Informations
100% remote role
The client provides their own Laptop.
Average of 168 hours per month.
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Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.