Usage of Conventional AI
Virtusa utilizes Artificial Intelligence (AI) technology for the purpose of conducting candidate pre-employment assessments. This AI may include both text-based and voice-based functionalities. The AI technology will have access to the data that you upload or provide during your interaction with the AI bot and will use such data solely for the purpose of performing assessment in accordance with Virtusa policies and practices. The AI is not used to substantially assist or replace discretionary employment decisions. Read our full employee privacy policy here.
Job description
Must have minimum 7+ years of experience in Data Migration and Data Transformation projects on Azure cloud Proven expertise in building large-scale batch and real-time data pipelines with data processing frameworks in AWS and Azure cloud platforms Design and develop pipelines, ETL and analytical processes on Azure cloud using data services like Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse including Spark & SQL Pools Hands-on experience in Microsoft Fabric for implementing end-to-end data pipelines, Real-Time Analytics, OneLake integration, and Data Activator features Demonstrated experience with ETL development both on-premises and in the cloud using IoT, Azure Stream Analytics, Azure Event Hubs, Azure Databricks, Azure Synapse, SQL, Azure Data Lake, Azure Logic Apps, Power BI, and other ETL technologies Design and develop highly available, resilient, scalable, and secured data platforms adhering to best practices Proficient in writing automation scripts using Python and Spark (Scala) for data processing and transformation Strong analytical skills to solve complex issues in both existing and new code Solid experience in building cloud data solutions and deep understanding of Cloud Storage, Big Data Platform Services, Serverless Architectures, Hadoop, RDBMS, DW/DM, NoSQL databases, and Cloud Security Extensive hands-on experience with Azure Data Architecture components: Data Ingestion, Data Integration, Data Pipeline, Data Orchestration tools and streaming services like Event Hubs, Databricks, Stream Analytics, Logic Apps, Data Factory, Data Lakes Experience in Data Governance, including Data Security, Data Quality, and Access Controls Skilled in monitoring, debugging, diagnosing, and troubleshooting complex production systems Self-driven and able to work independently in dynamic and fast-paced environments Responsibility Translate business requirements into actionable technical specifications, defining application components, enhancement needs, data models, and integration workflows Mentor and coach application teams on the adoption of modern tools, technologies, design patterns, and Microsoft Fabric capabilities Design optimal cloud-hybrid architectures for Big Data, Data Warehousing, and orchestration pipelines, enabling smooth migration from on-premise to Azure Cloud and Microsoft Fabric Architect.
Qualification
Must have minimum 7+ years of experience in Data Migration and Data Transformation projects on Azure cloud Proven expertise in building large-scale batch and real-time data pipelines with data processing frameworks in AWS and Azure cloud platforms Design and develop pipelines, ETL and analytical processes on Azure cloud using data services like Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse including Spark & SQL Pools Hands-on experience in Microsoft Fabric for implementing end-to-end data pipelines, Real-Time Analytics, OneLake integration, and Data Activator features Demonstrated experience with ETL development both on-premises and in the cloud using IoT, Azure Stream Analytics, Azure Event Hubs, Azure Databricks, Azure Synapse, SQL, Azure Data Lake, Azure Logic Apps, Power BI, and other ETL technologies Design and develop highly available, resilient, scalable, and secured data platforms adhering to best practices Proficient in writing automation scripts using Python and Spark (Scala) for data processing and transformation Strong analytical skills to solve complex issues in both existing and new code Solid experience in building cloud data solutions and deep understanding of Cloud Storage, Big Data Platform Services, Serverless Architectures, Hadoop, RDBMS, DW/DM, NoSQL databases, and Cloud Security Extensive hands-on experience with Azure Data Architecture components: Data Ingestion, Data Integration, Data Pipeline, Data Orchestration tools and streaming services like Event Hubs, Databricks, Stream Analytics, Logic Apps, Data Factory, Data Lakes Experience in Data Governance, including Data Security, Data Quality, and Access Controls Skilled in monitoring, debugging, diagnosing, and troubleshooting complex production systems Self-driven and able to work independently in dynamic and fast-paced environments Responsibility Translate business requirements into actionable technical specifications, defining application components, enhancement needs, data models, and integration workflows Mentor and coach application teams on the adoption of modern tools, technologies, design patterns, and Microsoft Fabric capabilities Design optimal cloud-hybrid architectures for Big Data, Data Warehousing, and orchestration pipelines, enabling smooth migration from on-premise to Azure Cloud and Microsoft Fabric Architect.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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