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.

SUMMARYThe position that we are hiring will form part of a core Product Engineering team that is building a next generation big data analytics platform for the healthcare space. Due to the strategic nature and long-term vision of the product, candidates are expected to demonstrate steadfast commitment and dedication over and above proving themselves to excel in the challenging technical skillset.TECHNICAL SKILLSET• Fluent in big data engineering development using the Hadoop/Spark ecosystem• Hands-on project experience with Cloudera Data Platform• Data ingestion and integration into the Data Lake using the Hadoop ecosystem tools such as Sqoop, PySpark, Impala, Hive, Oozie, Airflow etc. • Candidates should be fluent in the Python language• Developing the Data ingestion and integration flows in Hive, Spark and Impala• Creating the Hive Data structure, metadata and loading the data into Data Lake/Big Data warehouse environment• Building the data pipeline to migrate and load the data into the Hadoop distributed file system either on-prem or in the cloud• Experience in building real-time data ingestion pipelines using Apache Kafka and Apache NiFi• Developing applications with Apache Kudu and experience in Kudu integration with SparkNON-TECHNICAL SKILLS• Good English communication skills• Self-driven and self-initiated• Team playerDOMAIN/INDUSTRY• Candidates with experience in healthcare big data projects will be preferredWORK EXPERIENCE• Overall 4-6 years of Data Engineering experience in Big Data• 2-3 years of hands-on experience in Hadoop ecosystem tools such as Sqoop, Hive, Hbase• Hands-on development experience in Spark framework– PySpark/Spark-Scala/JavaRESPONSIBILITIESAs an integral part of the product engineering team, responsibilities will include but not limited to - • Understanding the requirements from the Functional Team• Developing the code that aligns to the technical design and coding standards• Ownership of the code and deployment into test, UAT and production• Conduct Peer-Code Reviews for early detection of defects and code quality• Troubleshooting and follow escalation procedures to resolve issues

• Bachelor of Engineering or Bachelor of Technology