Job Description

Experience


Must have minimum 3 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 and implement end-to-end data platforms using Azure services and Microsoft Fabric, including Real-Time Analytics, OneLake, Data Activator, and unified pipeline orchestration


Ensure all solutions are highly available, resilient, scalable, and secure, adhering to Azure and Fabric best practices


Develop robust automation scripts and transformation logic using Python and Spark for scalable and high-performance data processing


Define enterprise-wide strategies, policies, and best practices for Big Data and Cloud-native data integration and analytics, leveraging both Azure and Fabric platforms


Create and maintain detailed technical design documentation and provide accurate estimations for storage, compute resources, cost efficiency, and operational readiness


Collaborate with clients, internal stakeholders, and delivery teams to align business goals with technical execution, ensuring project success through clear communication and agile delivery

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 27,000 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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.