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. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.

Azure Data Engineer Job Title: Azure Data Engineer Job Summary Azure Data Engineer to identify opportunities and implement solutions in leveraging Azure data and analytics. This role requires the incumbent to be proficient in designing and building modern data pipelines and data streams within the Azure framework. Should be well-versed in building data solutions using Microsoft Azure data components, pipeline tools and SQL/NoSQL coding best-practices and standards with very good analytical ability, problem solving skills, agile approach, communication skills, prioritization and task management. The incumbent is required to champion various data orchestration projects at an individual as well as team level. Responsibilities and Duties: Leverage near real-time big data sources to facilitate more dynamic reporting Expand API Service to facilitate more use cases Democratize Data for use and re-use via single Data Model and platform Be single data source of trusted information eliminating manual data processing and transfer Develop a single Data integration Strategy lead the data orchestration ETL/data migration to cloud using on premise and/or cloud data sources Qualifications and Skills: MCA/BE/BTech/MTech/MSc (IT)/MBA (Systems/IT) or should have done at least 1-year programming education from a recognized institute. Must have: 2 -4 years of experience in Azure Data factory, Azure Databricks, Azure Analysis services hands-on experience in Python, Dataframes, T-SQL hands-on experience in Azure Data Storage Components such as BLOB and Azure Data Lake hands-on experience in Developing ETL using Azure Data Factory, Azure Data Bricks hands-on experience in Implementing ETL solutions using Azure SQL DW, Azure SQL DB, Polybase SQL, Logic Apps Good understanding of Azure AD concepts Deployment using Azure DevOps Good understanding of Azure AD concepts Strong knowledge of SQL query and store-procedure Good experience in orchestrating ETL/data migration to cloud using on premise and/or cloud data sources Facilitate 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 solutions Should have thorough understanding of data-lakes, raw/enriched/curated layer concepts and ETL within Azure framework Should have thorough understanding of Data Warehousing, Data Marts and general ETL Concepts Be a good team player and collaborate effectively with multiple stakeholders internally and with clients Demonstrated good written/spoken communication skills Good to have exposure in: Data Science skills like predictive analytics scripting language like java Automation scripting and automated job data modelling and data verification

MCA/BE/BTech/MTech/MSc (IT)/MBA (Systems/IT) or should have done at least 1-year programming education from a recognized institute