We are expanding our Microsoft BI team and are looking for talented, creative, and hard-working professionals. More importantly we are looking for people with great attitudes, who are fun to work with and who are serious about learning and advancing their careers.​

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• Position(IRV2092,IRV2093,IRV2094 ) : Senior Azure Data Architect(3 positions)

  • Location : Irving, TX

  • Employment : Full Time /Part time / Consultant

  • Telecommute : allowed

  • Salary : $150K - $250K [based on experience]

  • Job Description:

    • Subject Matter Expert (SME) for Azure Databricks implementation specifically focused on BI Requirement gathering, Data Modeling

    • Create multiple guidelines documents like Azure Architecture document, Security guidelines etc.

    • Work extensively  on Azure Architecture/Configuration, Azure Data Factory, Azure Data Bricks Unity Catalog

    • Implement Medallion Architecture (bronze, silver and gold zones) in Azure Databricks, schema validation and schema evaluation.

    • Manage all phases of software development cycle: requirement analysis, design and architect, development, testing and deployment.

    • Administrating and managing Azure account and deployment using Azure DevOps.

    • Enforced standard Microsoft naming structure for objects, comments in code, design documents, test case documents and code review.

    • Manage Azure DevOps CI/CD using yml and release pipelines.

    • Design and architect machine learning systems and frameworks.

    • Develop, test, and refine machine learning models.

    • Collaborate with cross-functional teams to gather requirements and deliver solutions.

    • Implement best practices for data management and model deployment.

    • Monitor and maintain the performance of machine learning applications.

  • Qualifications:

    • BS in Computer Science or related field required.

    • Platforms: Microsoft Azure Databricks , azure data factory , snow flake

    • Data Modeling: Dimensional data modeling, star schema, data modeler, physical and logical schema.

    • Programming Languages: Sql , pyspark, t-sql.

    • Development Tools and Platforms: Azure Data Factory, Azure Function Apps, Azure Purview, Profisee, Logic Apps, Azure Dev Ops, Continuous integration, Azure Key vault, Self-hosted integration.

    • Ability to deal with and balance multiple priorities.

    • Thorough understanding of the software life-cycle and relevant software methodologies used in software development.

    • Judgment and Decision Making — Ability to deal with ambiguity and rapid change.

    • Highly self-motivated and delivery focused.

    • Actively promotes a positive team spirit, builds networks to enhance effectiveness and share knowledge.

    • Takes responsibility for achieving results, overcomes obstacles and adapts approach, bias for action.

    • Displays awareness of the impact of actions on the business and demonstrates understanding of the context of the company and acts in line with it.  

    • Strong background in machine learning, statistics, and data analysis.

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

    • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is a plus.

    • Excellent problem-solving and communication skills.

  • Required Experience:

    •     8+ years of experience in Azure data Architect , Azure Data Factory , Azure Databricks, Logic Apps, Azure Synapse, Key Vault , CI/CD  or equivalent role.

    •    Good communication skill

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• Position(IRV2095,IRV2096,IRV2097,IRV2098) : Senior Azure Developer(4 positions)

  • Location : Irving, TX

  • Employment : Full Time /Part time / Consultant

  • Telecommute : allowed

  • Salary : $150K - $220K [based on experience]

  • Job Description:

    • Implement Medallion Architecture (bronze, silver and gold zones) in Azure Databricks, schema validation and schema evaluation.

    • Manage all phases of software development cycle: requirement analysis, design and architect, development, testing and deployment.

    • Administrating and managing Azure account and deployment using Azure DevOps.

    • Enforced standard Microsoft naming structure for objects, comments in code, design documents, test case documents and code review.

    • Manage Azure DevOps CI/CD using yml and release pipelines.

    • Design and architect machine learning systems and frameworks.

    • Develop, test, and refine machine learning models.

    • Collaborate with cross-functional teams to gather requirements and deliver solutions.

    • Implement best practices for data management and model deployment.

    • Monitor and maintain the performance of machine learning applications.

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  • Qualifications:

    • BS in Computer Science or related field required.

    • Platforms: Microsoft Azure Databricks , azure data factory , snow flake

    • Data Modeling: Dimensional data modeling, star schema, data modeler, physical and logical schema.

    • Programming Languages: Sql , pyspark, t-sql.

    • Development Tools and Platforms: Azure Data Factory, Azure Function Apps, Azure Purview, Profisee, Logic Apps, Azure Dev Ops, Continuous integration, Azure Key vault, Self-hosted integration.

    • Ability to deal with and balance multiple priorities.

    • Thorough understanding of the software life-cycle and relevant software methodologies used in software development.

    • Displays awareness of the impact of actions on the business and demonstrates understanding of the context of the company and acts in line with it.  

    • Strong background in machine learning, statistics, and data analysis.

    • Proficiency in programming languages such as Python or R.

    • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

    • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is a plus.

    • Excellent problem-solving and communication skills.

  • Required Experience:

    • 8+ years of experience in Azure data Architect , Azure Data Factory , Azure Databricks, Logic Apps, Azure Synapse, Key Vault , CI/CD  or equivalent role.

    •    Good communication skill

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• Position (IRV2080,IRV2081,IRV2082) : QA Engineer(3 positions)

  • Location : Irving, TX

  • Employment : Full Time /Part time / Consultant

  • Telecommute : allowed

  • Salary : $100K - $150K [based on experience]

  • Job Description:

    • Perform functional, performance and content testing and analysis of applications.

    • Write, isolate and regress technical and content related issues.

    • Work with QA documentation, including test plans and test cases.

    • Contribute to continuing improvement of QA department processes, tools and standards.

    • Assist with user and acceptance testing.

    • Design and execute comprehensive test cases for machine learning models and algorithms.

    • Validate data preprocessing, feature extraction, and model outputs.

    • Collaborate with data scientists and engineers to identify testing requirements and best practices.

    • Monitor model performance and conduct regression testing to ensure ongoing accuracy.

    • Automate testing processes and maintain documentation of testing procedures and results.

  • Qualifications:

    • Basic knowledge of Azure adf, databricks environment .

    • Expert in Selenium in Microsoft environment.

    • Ability to deal with and balance multiple priorities.

    • Thorough understanding of the software life-cycle and relevant software methodologies used in software development.

    • Judgment and Decision Making — Ability to deal with ambiguity and rapid change.

    • Highly self-motivated and delivery focused.

    • Actively promotes a positive team spirit, builds networks to enhance effectiveness and share knowledge.

    • Takes responsibility for achieving results, overcomes obstacles and adapts approach, bias for action.

    • Displays awareness of the impact of actions on the business and demonstrates understanding of the context of the company and acts in line with it.  

    • trong understanding of machine learning concepts and algorithms.

    • Experience with QA methodologies and testing frameworks.

    • Proficiency in programming languages such as Python or Java.

    • Familiarity with data validation tools and techniques.

    • Excellent analytical and problem-solving skills.

  • Required Experience:

    •     2+ years of experience  Azure data analysis and machine learning environment environment