How much salary can I expect as a Deputy Manager - Data Engineering in WNS Global Services Pvt Ltd in Noida?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Deputy Manager - Data Engineering in WNS Global Services Pvt Ltd in Noida?

The candidate should have completed the required education and people who have 2 to 31 years are eligible to apply for this job. You can apply for more jobs in Noida to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

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Deputy Manager - Data Engineering

WNS Global Services Pvt Ltd

Deputy Manager - Data Engineering

WNS Global Services Pvt Ltd

Noida

Not disclosed

Work from Office

Full Time

Min. 2 years

Job Description

Deputy Manager-Data Engineering

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

• Strong proficiency in Python, SQL, and Advanced Excel for data manipulation and validation• Hands-on experience with Azure Cloud ecosystem, especially:• Azure Data Factory• Azure Data Lake• Azure Databricks• Strong working knowledge of Apache Spark (PySpark preferred)• Experience building and optimizing scalable ETL/ELT data pipelines• Experience implementing CI/CD pipelines (Azure DevOps or similar tools)• Understanding of data architecture, data modelling, and performance tuning________________________________________Key Responsibilities• Design and develop scalable data Products in Azure Cloud.• Manage ingestion, transformation, and validation of multi-source datasets• Collaborate with Data Science teams to deliver model-ready datasets for MMM and advanced analytics• Implement and maintain CI/CD pipelines for data workflows• Optimize Spark jobs and cloud infrastructure for performance and cost efficiency• Ensure data governance, documentation, and best engineering practices• Contribute to cloud architecture decisions and continuous platform improvements.