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.

Job brief We are looking for a passionate Engineer to join our growing team of analytics experts. The hire will be responsible for expanding & optimizing our data and data pipeline , as well as optimizing data flows. The ideal candidate should be a data pipeline builder who enjoys optimizing data systemsResponsibilities3-5 years of experience in data management Strong experience in Microsoft SQL Server Integration Services SSISExperience with data pipeline and workflow management tools Nifi , Airflow etc.Create & maintain optimal data pipeline architectureIdentify ,Design and implement internal process improvements automating manual process, optimizing data delivery Work closely with management to prioritize business & information needsDesign & Develop frameworks for increasing the overall efficiency of bringing data into th data lake , processing and delivery of dataExperience with big data tools Hadoop, Pyspark, etc.Generate documentation on existing production data logic and its influencing business processes in order to reconcile knowledge gaps between the business, engineering, and data collection Monitoring , building, and maintaining modern scalable data architectures in the cloud Knowledge in cloud i.e Azure is desirable Requirements SQL,Apache Hadoop, Python, Data Ingestion , Apache Nifi , Azure , SSIS , SSSMS

B.E B.Tech M.C.A M.B.A