Senior Enterprise Architect

4 weeks ago


Bengaluru, Karnataka, India WNS Full time

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

Senior Enterprise Architect Role

Our ideal candidate will be responsible for leading enterprise architecture and solutioning efforts to define and develop big data components. We are seeking an expert in data modeling, data virtualization, and data compression techniques. Proficiency in building large-scale data lake-based solutions using AWS and expertise in streaming & real-time data processing using AWS are also required.

Key Responsibilities

  • Develop solutions focused on AWS and big data and analytics across diverse domains
  • Lead enterprise architecture and solutioning efforts to define and develop big data components
  • Expertise in data modeling, data virtualization, and data compression techniques
  • Proficiency in building large-scale data lake-based solutions using AWS
  • Expertise in streaming & real-time data processing using AWS
  • Strong capability to drive the project and keep communication clear between both parties

Requirements

Graduate with relevant work experience of 18-20 years. Bachelor/Master's degree in Computer Science or equivalent. Proficient in Pyspark framework. Expertise in NoSQL, Snowflake, and Denodo. Prior experience in big data implementations (batch/stream/real-time processing), ETL/ELT, and Hadoop.



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