Azure Data Engineer

2 weeks ago


Addison, United States Yoh, A Day & Zimmermann Company Full time

Azure Data Engineer

Direct Hire

Addison, TX (Hybrid)


Responsibilities:

Analyze, develop, combine raw information, and maintain various data sources

Improve data quality and efficiency to build data systems and pipelines

Identify opportunities for data acquisition and collaborate with Application owners and Subject Matter Experts (SME) to document data domain knowledge

Implement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modeling

Leverage data serialization techniques to meet project needs for use in various reporting platforms

Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists, Reporting Analysts, and Subject Matter Experts (SME) to understand business goals

Understand enterprise project life cycle and prepare for integration and user acceptance testing methods.

Produce technical documentation by following enterprise standards and guidelines

Participate in relevant information-sharing activities

Serve as escalation point for application support and troubleshooting

Proactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awareness

Daily review outstanding issues to assure that troubleshooting and resolutions are current

Ensure all changes comply with change management policies and procedures

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


Qualifications:

Bachelor’s Degree

3+ Database development / Data-Centric pipelines / Model-Centric pipelines

Strong SQL development and performance tuning skills

Competencies with Oracle, SQL Server, SSIS, Sybase, NoSQL, Python, Azure, Docker, Git, and Visual Studio

Experience with Data Lakes, Lake Houses, and ELT is preferred

Experience with Azure ML, Azure Data Factory, Azure Data Bricks, Azure Data Flow, and Azure Functions is preferred


#azure #data #adf


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