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.

Job Description

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 reviews and provide technical leadership and mentorship.

Required Skills

Strong experience in Google Cloud Platform (GCP) services:

BigQuery
Cloud Storage
Dataflow
Pub/Sub
Dataproc
Cloud Composer / Apache Airflow

Hands-on experience in Generative AI / LLM solutions.
Strong programming expertise in Python.
Advanced SQL development and query optimization skills.
Extensive experience in ETL/ELT pipeline development.
Hands-on experience with workflow orchestration using Apache Airflow.
Experience in distributed data processing using Dataproc / Spark / PySpark.
Good understanding of data warehousing concepts and cloud architecture.
Experience with Git, CI/CD pipelines, and Agile methodologies.

Preferred Skills

Experience with Vertex AI, LangChain, RAG architecture, vector databases, or AI orchestration frameworks.
Exposure to streaming technologies such as Kafka or Pub/Sub.
Knowledge of Infrastructure as Code tools such as Terraform.
Familiarity with MLOps concepts and ML pipeline integration.
GCP certifications are a plus.

Educational Qualification

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related discipline.

Desired Candidate Profile

Excellent analytical and problem-solving skills.
Strong communication and stakeholder management abilities.
Ability to work in a fast-paced, collaborative environment.
Passion for cloud technologies, modern data platforms, and AI innovation.

Qualifications

Graduate or above

Group Manager - Data Engineering

Lead Assistant Manager-Data Engineering-Big Data Engineering