Sr Architect - AWS & Big Data (REF4090M)

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 18-20 Years

Bachelor / Master’S 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