WNS - Senior Architect - Azure/AWS Architect

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 :

- Total Relevant Work Experience Of 10-12 Years

- Bachelor/ Masters Degree In Computer Science Or Equivalent

- Experienced In Developing Solutions Focused On AWS and Big Data And Analytics Across Diverse Domains

- Has Led Enterprise Architecture And Solutioning Efforts To Define And Develop Big Data Components

- Deep Knowledge Of Best Practices Through Relevant Experience Across Data-Related Disciplines And

Technologies, Particularly For Enterprise-Wide Data Architectures, Data Management, Data Governance And

- Data Warehousing

- Expertise In AWS Bigdata Platform, Cloudera Distribution

- Proficient In Building Large Scale Data Lake-Based Solutions using AWS

- Expertise In Streaming & Real-Time Data Processing using AWS

- Expertise In Data Modeling (Erwin, Rdbms & Nosql) & Data Virtualization (Denodo, Tibco)

- Expertise In Data Compression Techniques

- Expertise In Handling Pii Data.

- Proficient In Pyspark Framework

- Expertise In Nosql, Snowflake and Denodo

- Prior Experience In Big Data Implementations (Batch/Stream/Real-Time Processing), Elt/Etl And Hadoop.

- Understanding Of Tools And Technologies Available Within The Enterprise Data & Analytics Ecosystem, With

- The Ability To Understand Functional Purpose Of Tools And Fit For A Specific Requirement

- Strong Capability To Drive The Project And Keeps Communication Clear Between Both Parties

- Own Technical Assessment, Drive And Manage It Implementation Plan, Governance And Progress Reporting

- Expertise In Agile Project Management Practices

Qualifications : Graduate

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