Assistant Manager - Data Engineering at WNS Global Services

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Pandas, PySpark, BigQuery, Apache Airflow, Tableau, Power BI, GCP, Data Engineering, ETL, Data Modeling, API Integration, Web Scraping, Data Visualization

Industry

Business Consulting and Services

Description

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 We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus. Qualifications Graduate or above

Responsibilities

The Assistant Manager will analyze and process large datasets to uncover insights while building and optimizing data pipelines. They will also manage end-to-end analytical deliverables and design dashboards to visualize key performance metrics.