Staff Data Engineer - GTM
As a Staff Data Engineer - GTM, you will build and manage systems that define account identities and hierarchies, ensuring data quality and enabling efficient growth for the company.
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 66,000+ employees.
Please Note that this is a 4 Day Work from Office Role in Central London & 1 Day work from Home
Key Responsibilities
Experience
ย
Tech Stack
As a Staff Data Engineer - GTM, you will build and manage systems that define account identities and hierarchies, ensuring data quality and enabling efficient growth for the company.
As a Staff Data Engineer, you will design and build data solutions, manage cloud data infrastructure, and ensure data quality and governance across systems.
Lead the design and implementation of scalable data ingestion architectures using Snowflake and AWS, ensuring high-quality data pipelines for critical business workflows.
Lead the design and implementation of scalable data ingestion architectures in Snowflake, ensuring high-quality data pipelines for critical business workflows.
Lead the design and implementation of scalable data ingestion architectures in Snowflake, ensuring high-quality and reliable data pipelines for critical business workflows.