Group Manager - Azure Data Engineer

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Microsoft Azure Backend resource with 6-9 years of experience in development/support focusing on designing, developing and integrating applications within the Azure Framework and overall technology experience. Expose data to end-users and data consumers using Azure APIs and data visualization platforms, particularly Power BI, with strong focus on data pipeliningGood experience for orchestrating ETL/data migration to cloud using on premise and/or cloud data sourcesFacilitate the development of ETL and Data Architecture best practice (e.g. documentation standard), guidelines (e.g. code reuse), strategies and help to promote the viability/usefulness of the solutionsExperienced in soliciting and documenting business, functional and data requirements, context/variable diagrams, use cases and ETL related diagramsJob Requirements:Must have hands-on experience ino Developing ETL/ELT solutions using Databricks with Python and Spark SQL and SSISo ADF for orchestrationo Deployment using DevOps(CI/CD)o Azure Data Storage Components such as BLOB and Azure Data Lakeo Implementing ETL solutions using Azure SQL DW, Azure SQLDBo Good understanding of Azure AD concepts, Authentication conceptsShould have thorough understanding of data-lakes, raw/enriched/curated layer concepts and ETL within Azure frameworkStrong in data governance, master data management and data quality and maturity processesMust have hands-on experience ino Developing ETL/ELT solutions using Databricks with Python and Spark SQL and SSISo ADF for orchestrationo Deployment using DevOps(CI/CD)o Azure Data Storage Components such as BLOB and Azure Data Lakeo Implementing ETL solutions using Azure SQL DW, Azure SQLDBo Good understanding of Azure AD concepts, Authentication conceptsShould have thorough understanding of data-lakes, raw/enriched/curated layer concepts and ETL within Azure frameworkStrong in data governance, master data management and data quality and maturity processes

Qualifications

BE, B Tech, MCA, MBA