Company
Technology
DataEngineer-Azure
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer - Azure. Skills: Data engineering, Data pipelines. Build data pipelines. Ingest data from databases”
Industry & Context.
Independence, Responsibility
What They're Looking For.
Must Have
4-6 years professional experience, Agile methodologies experience, Hands-on experience designing data storage, Hands-on experience optimizing data storage
Nice to Have
Familiarity with other cloud technologies, Familiarity with data warehouses, Familiarity with data governance, Familiarity with business analysis
What You'll Do.
Ingest data from databases
Ingest data from APIs
Ingest data from streaming platforms
Ensure data compatibility
How You'll Work.
Team & Collaboration
Co-workers; Business stakeholders
Communication Scope
Convey information clearly
Process & Methodology
Agile methodologies
Full Job Description
## Description Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format ## Requirements 4-6 years of professional experience in a similar role. Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders. Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps). Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus. Independence and responsibility in delivering solutions. Ability to work under agile methodologies. Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)
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