Group Manager-Data Engineering (Azure data services, Databricks, Snowflake, at WNS Global Services

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, Data Modelling, Snowflake, Azure Data Factory, SQL, Python, Azure Services, ETL, ELT, Databricks, DBT, Data Governance, Metadata Management, Performance Tuning, Financial Domain Knowledge

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 Job Summary: We are looking for a Senior Data Engineer with strong expertise in architecting and building scalable data solutions using Azure data services, Databricks, Snowflake, DBT, and Python. Involves architecting, designing, and optimizing scalable data platforms and pipelines to support enterprise data initiatives. Financial domain knowledge is desirable. Required Skills & Qualifications (Must Have Skills)Extensive experience in data engineering, data architecture, and data modelling.Strong hands-on expertise with Snowflake, and Azure services like Azure Data Factory. Advanced proficiency in SQL (optimization, stored procedures) and Python for data processing. Deep understanding of Azure services: ADLS, Azure SQL, Event Hub, Synapse, and related components. Experience in data modelling, data warehousing, ETL/ELT frameworks, and architectural best practices. Ability to diagnose job failures, data discrepancies, pipeline performance issues, and platform-level inefficiencies. Nice To Have Skills Exposure to Databricks & DBT. Experience with DevOps tools (Git, CI/CD pipelines, Terraform).Working knowledge of data governance and metadata management tools.Exposure to the finance domain and its associated datasets.Key Responsibilities:Architect, design, and implement scalable end to end data solutions across Azure, Databricks, Snowflake, and DBT. Develop and maintain robust ETL/ELT pipelines using ADF, ADLS, Azure SQL, Event Hub, and other Azure data services. Optimize Databricks jobs, Snowflake workloads, ADF pipelines, and data models for performance and cost efficiency. Troubleshoot and resolve issues related to data pipelines, data quality, SQL queries, and Python scripts. Support data platform architecture, data modelling standards, and best practices for data governance and security. Assist with performance tuning of Databricks clusters, Snowflake warehouses, and BI datasets. Qualifications Graduate or above

Responsibilities

Architect, design, and implement scalable end-to-end data solutions across Azure, Databricks, Snowflake, and DBT. Develop and maintain robust ETL/ELT pipelines using Azure data services.