Job Description

We are seeking an experienced and knowledgeable Azure Data Engineer with expert-level skills in Azure Databricks and Delta Architecture, specifically focused on supply chain and clinical trial data. As an Azure Data Engineer, you will be responsible for designing, developing, and maintaining our Azure data platform for supply chain and clinical trial data using state-of-the-art technologies and best practices.


Responsibilities


Design, develop, and implement end-to-end data solutions on the Azure platform, leveraging Azure Databricks and Delta Architecture for supply chain and clinical trial data. Architect, build, and optimize data pipelines and ETL processes to ingest, transform, and load supply chain and clinical trial data from various sources into Azure Databricks.


Collaborate with stakeholders from the supply chain and clinical trial domains to understand data requirements and translate them into technical solutions.


Build scalable and efficient data models using Delta Lake for structured and unstructured supply chain and clinical trial data on Azure Databricks.


Develop and implement data ingestion frameworks, data validation processes, and data quality controls specific to supply chain and clinical trial data. Optimize performance and troubleshoot issues within Azure Databricks by tuning Spark configurations, optimizing query performance, and implementing caching strategies for supply chain and clinical trial data processing.


Monitor, manage, and ensure the security, reliability, and availability of data pipelines and the Azure data platform for supply chain and clinical trial data.


Implement best practices in data governance, data security, and data privacy for supply chain and clinical trial data, ensuring compliance with regulatory requirements.


Collaborate with infrastructure and DevOps teams to ensure effective deployment, configuration, and management of Azure Databricks clusters for supply chain and clinical trial data processing.


Stay up to date with the latest advancements and trends in Azure Databricks, Delta Architecture, and other relevant Azure data technologies for supply chain and clinical trial data, proactively bringing in new ideas and solutions to enhance the data platform.


Requirements


Bachelor or master degree in computer science, information systems, or closely related field.


Strong experience as a data engineer, with a focus on Azure data solutions, specifically in the supply chain and clinical trial domains.


Expert-level skills in Azure Databricks and Delta Architecture for processing supply chain and clinical trial data. Proficiency in Apache Spark, Scala, Python, SQL, and other relevant programming languages for data processing and analytics.


In-depth knowledge of data warehousing concepts, data modeling, and ETL processes for supply chain and clinical trial data.


Experience with data integration and data ingestion techniques using various technologies and protocols for supply chain and clinical trial data REST APIs, Kafka, Azure Event Hubs, etc


Strong understanding of data governance, data security, and data privacy requirements specific to supply chain and clinical trial data.


Familiarity with Azure cloud services, such as Azure Data Factory, Azure SQL Database, Azure Storage, and Azure Functions for supply chain and clinical trial data processing.

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 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.