Job Description :

QA Automation Engineer / SDET – Azure Cloud Data Management 

I represent Technuf LLC, a DC Metro based hi-tech 8(a) small business with customers across federal & state government agencies and commercial organizations. We are a CMMI / ISO certified organization with expertise in areas such as Cybersecurity, Software Engineering, Automation & Application Transformation as well as emerging technologies such as AI, Develops and Block Chain.  
We have put together several Scrum Teams to work with one of our trusted partners and clients in developing their enterprise architecture.  The team will work in an agile environment in teams doing event-driven development, creating scalable, automated solutions.  The QA Automation Engineer will be responsible for writing, automating, and executing test scripts for the applications, as well as building automation framework for Data and Azure Cloud Data Management. 
Required experience and competencies. 
• Bachelor’s Degree in relevant field 
• 3+ Years of experience in QA Automation 
• Experience as an Automated Test Engineering Lead 
• Experience in coding as well as creation of test plans and automated test scripts 
• Agile Scrum methodology 
• Experience building ground up Automated Test Management Framework on Azure Platform 
• Microsoft SQL Server Management Studio 
• Azure Functions, SQL Database, Python, Pyspark, PySql, Snowflake DotNet Core Framework 
• Background and Experience of building testing framework for Azure Data Platform 
• Knowledge of Data Warehousing concepts – Data Ingestion, Data Processing, Data Warehouse Modeling and Data Consumption 
• Java or C#, JSP, Javascript, HTML, SQL, CSS 
• 2+ years with Selenium / Visual Studio 
• SpecFlow for BDD 
• xUnit 
• Version control – GitHub, Bitbucket 
• ETL Testing / Data Testing 
• High degree of professionalism, attention to detail, teamwork, and communication 
• Nice to have: Knowledge of Cloud Data Skills: 
• Azure Data Factory, Databricks 
• Spark/Hive 
• Snowflake 
• PowerBI and PowerBI embedded Informatica 
• Data Warehouse 
• Data Ingestion 
• Data Lake/Factory 
• DAX (Data Analysis Expressions) language within Power BI 


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