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Azure Data Ops Engineer-Hybrid 2 x a week

Job Title
Azure Data Ops Engineer-Hybrid 2 x a week
Job ID
27662724
Location
Vienna,  VA 22180
Other Location
Description
Description:
Seeking Azure Data Ops Engineer to support an initiative to automate enterprise CI/CD metrics (Azure, Distributed and Mainframe) and develop an enterprise dashboard. This position is focused on defining CI/CD data sets and transforming (ETL/ELT) this data for reporting purposes (real-time and historical).
Key duties for this position include:
•Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
  • Implementing efficient data flows by coding and scripting data pulls, transformations, and exports/imports from a multitude of internal and external sources.
• Generate metrics for the data sets to be used for reporting
• Defining a cost-efficient data storage strategy for the CI/CD data repository
• Familiarity and good understanding of data models – relational and dimension models
•Promote the reuse of data assets, including the management of the data catalog for reference
•Expose data to end-users using Azure API Apps or any other modern visualization platform or experience
•collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and present patterns, insights, and trends to decision-makers.


SKILL REQUIREMENTS:
· 3+ years’ experience with scripting/automation development (PowerShell, Python, YAML)
· 3+ years’ experience with Azure Cloud, Azure DevOps (ADO) and PowerBI
· Extensive experience in Azure SQL and Azure NoSQL, Azure Stream Analytics, Azure APIs and Event Hub, Azure Storage Solutions, Azure Log Analytics
· Experience configuring and operating Azure monitoring, metrics and logging systems (Application Insights, Log Analytics/KQL).
· Experience with Business Intelligence and Dashboards Tableau & Business Objects
· Understanding of DevOps, Continuous Integration and Continuous Delivery and automated pipelines
· Experience in Agile methodologies (Kanban, SCRUM, SAFe)
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.  EEO IS THE LAW CC Pace invites any applicant and/or employee to review the Company’s written Affirmative Action Plan.  This plan is available for inspection upon request. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us.

 

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