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. 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 Description

Job Responsibilities
• Work with the delivery team and business partners to understand requirements, complete solution design (data engineering, data warehousing and BI solutions), development and ultimate delivery to the end consumers in an agile manner
• Work as a fulcrum with other technology teams to extract, transform, and load data from a wide variety of data sources (example: excel, csv, parquet, avro, json etc.) using SQL (Redshift, Oracle) and ability to use a major programming (e.g. Java/C) and/or a scripting language (Python) to process data for modelling
• Communicate and document solutions and design decisions
• Perform integration of multiple data source-formats into master data load
• Design and Deploy code (ETL – AWS Glue, EMR & ELK) and machine images on AWS platform to create and improve our existing data tools
• Clear knack towards future-proof automation at scale and technology eco-system to continuous integrate evolving user and business needed (as well as new data pipelines)
Qualifications and Must Have Skills
• MS/BS degree in a computer science field or related discipline
• Robust general programming skills
• Data Warehousing and ETL development
• Experience with AWS solutions such as EC2, S3, Lambda, EMR, Elastic Search, Glue, ELK, Sagemaker, Athena and Redshift & DynamoDB.
 At least one End-2-end production deployment experience
• Knowledge of scripting for automation (Python/ spark/SQL)
• Experience with engineering in the Cloud – on AWS
• Experience processing massive structured , unstructured & streaming  data sets
• Proficient in the Linux CLI
• Experience with Open source libraries and tools such as Spring, Maven, Eclipse, IntelliJ
•  Strong analytical and problem-solving skills
 Good to Have Skills
• Knowledge of Hadoop ecosystem or distributed database architecture
• Knowledge of No-SQL DB like Elastic Search,Cassandra, Hbase, MongoDB etc
• Working knowledge of other cloud platforms like Azure, Google Cloud etc
• Working knowledge on product development, ML/AI solutions in big data environment
• Experience in business stake holder management and consulting
Experience
• 6 + years in designing,developing scalable , reliable data intensive applications

Qualifications

Graduate/Post Graduate