Lead Associate-Data Engineering
@ WNS Global Services

Gurgaon, Haryana, India
On Site
Full-time
Posted 3 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @wns.com
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Job Details

Company Overview

WNS (Holdings) Limited (NYSE: WNS) is a leading Business Process Management (BPM) company. With deep industry knowledge in 10 key sectors including Travel, Insurance, Banking, Manufacturing, Retail, Shipping, Healthcare, and Utilities, WNS combines technology and analytics expertise to deliver digital-led transformational solutions.

Job Description

We are looking for a passionate Engineer to join our growing data analytics team. As the Lead Associate - Data Engineering, you will expand and optimize data pipelines and flows, working closely with management to prioritize critical business and information needs.

Responsibilities

  • Build and optimize data pipeline architectures using tools like Nifi and Airflow.
  • Create and maintain efficient data flows into the data lake.
  • Design and implement process improvements and automation.
  • Collaborate with management for business-driven data solutions.
  • Develop frameworks for efficient data processing and delivery.
  • Monitor production data logic and document business processes.
  • Maintain modern scalable data architectures in cloud environments.

Requirements

  • 1-3 years of experience in data management.
  • Experience with data pipeline and workflow management tools (e.g., Nifi, Airflow).
  • Experience with big data tools: Hadoop, PySpark.
  • Knowledge in cloud platforms, especially Azure.
  • Technical skills: Apache Hadoop, Python, ADF, Azure Data Bricks, Data Ingestion, Apache Nifi.

Qualifications

B.E, B.Tech, M.C.A or M.B.A

Key skills/competency

  • Data Engineering
  • Data Pipeline
  • Data Management
  • Big Data
  • Hadoop
  • Azure
  • Automation
  • Python
  • Workflow Tools
  • Cloud
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How to Get Hired at WNS Global Services

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your skills with relevant data engineering keywords.
  • Showcase Experience: Highlight data pipeline and big data project details.
  • Research WNS: Understand their BPM and digital transformation strategies.
  • Practice Interviews: Prepare for technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review Apache Hadoop and PySpark basics.
Practice Azure cloud data services.
Study workflow automation with Nifi and Airflow.
Refresh Python programming for data tasks.

Behavioral Questions

Describe a challenging data project.
Explain teamwork under tight deadlines.
Discuss process improvement experiences.
Share time management strategies.

Frequently Asked Questions