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.

We are looking for an experienced Azure Data Engineer to provide technical support for modern data platforms and analytics solutions.

The role involves troubleshooting, monitoring, and optimizing data pipelines and services across Azure and third-party tools, ensuring reliability, security, and compliance.

The ideal candidate will have hands-on experience in Azure services, automation, and troubleshooting, ensuring high availability, security, and cost efficiency.

Key Responsibilities: Technical Support Provide L2 support for Databricks, Snowflake, DBT, Power BI, Sigma, and Azure Data Services such as ADLS, ADF, Azure SQL, and Event Hub.Troubleshooting and Performance Monitor, diagnose, and resolve issues in existing data pipelines, ETL workflows, SQL queries, and dashboard performance.

Debug Python and SQL scripts used for data processing and analytics.Monitoring and Optimization

Monitor, tune, and optimize Databricks jobs, Snowflake queries, and ADF pipelines for performance and cost efficiency.Ensure proactive alerting and regular health checks for data services.Automation and CICD

Support CICD processes for data pipelines and analytics solutions using Azure DevOps or similar tools.Documentation and Compliance

Maintain Root Cause Analysis documentation for incidents.Ensure data security and compliance with Azure standards and best practices.Required Skills

Hands-on experience with Databricks, Snowflake, DBT, Power BI, and Azure Data Services including ADLS, ADF, Azure SQL, and Event Hub.Strong knowledge of ETL and ELT workflows, SQL, and Python scripting.

Familiarity with CICD pipelines and Azure DevOps.Understanding of data security, governance, and compliance in cloud environments.

Graduate or above

Shift timing : 4:30 Am - 2 Pm /  5 AM - 2 :30 PM