Azure Data Engineer
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Sr. Azure Data Engineer Experience: - 7+ Years
Location: - Irving, TX(Hybrid)
Mandatory skills / Required Experience
- Azure (Bigdata Azure) ADF, DataBricks Python or C#, SQL DW, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
As an Sr. Azure Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
Job Description: -
- 10+ years of experience with Azure Data Factory and Databricks with Big Data ecosystem tools (e.g. Hadoop, Hive) and data processing within the EDL for big data pipelines, architectures & data sets
- Knowledge of Python/C# is a MUST
- Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
- Develop and maintain innovative Azure solutions
- The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
- Build data pipelines to collectively bring together data
- Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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