WNS Global Services
Business Process Management
GroupManager-DataEngineering
Neural analysis suggests this role is
optimal for mid candidates.
“Group Manager - Data Engineering at WNS Global Services. Skills: Data Engineering, GCP, Generative AI, ETL/ELT. Design ETL/ELT pipelines. Develop cloud-native solutions”
What You'll Achieve.
operational excellence; re-imagine digital future; transform outcomes
Industry & Context.
analytical skills; problem-solving skills
What They're Looking For.
Must Have
Google Cloud Platform (GCP) services, Generative AI / LLM solutions, Python, SQL development, ETL/ELT pipeline development, workflow orchestration using Apache Airflow, distributed data processing using Dataproc / Spark / PySpark, data warehousing concepts, cloud architecture, Git, CI/CD pipelines, Agile methodologies
Nice to Have
Vertex AI, LangChain, RAG architecture, vector databases, AI orchestration frameworks, streaming technologies such as Kafka or Pub/Sub, Infrastructure as Code tools such as Terraform, MLOps concepts, ML pipeline integration, GCP certifications
What You'll Do.
Design ETL/ELT pipelines
Develop cloud-native solutions
Implement data processing pipelines
Build workflow orchestration
Work on large datasets
Integrate Generative AI
Optimize BigQuery workloads
Provide technical leadership
How You'll Work.
Team & Collaboration
Collaborate with data scientists; Collaborate with analysts; Collaborate with architects; Collaborate with business teams
Communication Scope
communication abilities; stakeholder management abilities
Full Job 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. About the Role We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), Generative AI, Python, SQL, ETL, Dataproc, and Airflow. The ideal candidate will play a key role in designing and implementing scalable cloud-based data platforms, modern ETL pipelines, and AI-enabled data solutions. Key Responsibilities * Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL. * Develop cloud-native data engineering solutions on GCP. * Implement batch and real-time data processing pipelines using Dataproc and Dataflow. * Build and manage workflow orchestration using Apache Airflow / Cloud Composer. * Work on large-scale structured and unstructured datasets for analytics and AI use cases. * Integrate Generative AI and LLM-based capabilities into enterprise data platforms. * Optimize BigQuery workloads and improve data processing efficiency. * Collaborate with data scientists, analysts, architects, and business teams to deliver data-driven solutions. * Ensure data quality, governance, scalability, reliability, and security. * Participate in architecture review
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