Job Description

We are Cognizant Artificial Intelligence  Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks  *This role is not able to offer visa transfer or sponsorship now or in the future*    Job Title - Azure Data Lead Responsibilities: •Designing Data & Analytics solutions leveraging Azure/Snowflake stack. •Lead effort to develop technical standards to support and operate technologies within the current or future Microsoft Azure system platform. •Translate business, and functional requirements into technical specifications including defining data collection and database schema requirements. •Provide high level T shirt estimates to support project costing. •Create and maintain detailed solution design for the approved projects and initiatives. •Recognize and adopt best practices in developing analytical insights including data integrity, analysis, test design, validation, and documentation. •Proactively promotes data quality and security through recommended approaches and practices. •Work closely with our Lead and Principal Architects to design holistic solutions while partnering with software development teams in implementing the solutions.   Qualifications: •Bachelor’s degree and/or applicable experience in information / computer technology field. •Hand-on knowledge and understanding of Snowflake (Warehouse, Streams, Task, Data Shares etc.) •4+ years of proven experience building data pipelines using MSFT Azure tools and services (Azure Data Factory, Azure Blob, Azure Databricks, Azure SQL Server, Azure Data Warehouse, Azure Batch..) •2+ years of experience with Python and/or PySpark. •Technical understanding of data model, data mapping and data integration with a cross-functional mindset. •Strong experience with business intelligence and data warehousing design principles and industry best practices including multi-dimensional modelling (star schemas, snowflakes, de-normalized models, handling “slow-changing” dimensions). •Experience with the BI / DW lifecycle components including Source data analysis, ETL, ODS, DataMarts, Reporting, Dashboards, Analytics. •Good understanding and experience of real-time analytics, data stores, data modelling and data management, analytic tools, languages. •Extensive data analysis skills with strengths in drilling into underlying databases for discovery and troubleshooting. •Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates. •Team player, motivated to learn new technologies, and able to grasp concepts and technologies quickly with analytical and problem-solving skills. •Be able to build pilot solutions and proof-of-concepts with minimal direction. #LI-EV1 #CB #Ind123