Data Engineer with Cloud and Financial Domain Expertise

Data Engineer - SQL/PySpark/ Python / Reporting tool and Cloud ( 5 yrs - Immediate joiners)

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

Seeking a skilled and experienced Data Engineer with over 5 years of expertise in designing, developing, and implementing data-driven solutions.

The ideal candidate should strong expertise in architecting and building scalable data solutions using cloud platforms(Azure/AWS/GCP), SQL and PySpark. involves architecting, designing, and optimizing scalable data platforms and pipelines to support enterprise data initiatives.

Financial domain knowledge(Order to Cash process) and ERP system integration experience is desirable.Job Responsibilities.Collaborate with business stakeholders to understand requirements and translate them into technical specifications

Troubleshoot and resolve issues related to data pipelines, data quality, SQL queries, and Python/Pyspark scripts. Support data platform architecture, data modelling standards, and best practices for data governance and security. Strong hands-on experience with SQL, Python and Spark.

Expert knowledge on schematic layer transformations

Experience 5+ years of hands-on experience in data engineering, data architecture, and data governance.

Strong hands-on expertise with cloud platforms (AWS/Azure/GCP) and on-premise implementations

Advanced proficiency in SQL (optimization, stored procedures) and Python for data processing.

Financial domain Knowledge (Order to Cash process) and ERP system integration experience is desirable.Must Have

Should be well versed with Python, Spark, SQL and Excel.Cloud/On-premise

Experience with data integrations, mapping and automation.Outstanding communications and stakeholder management skills.

Qualifications

Graduate or above

Additional Information

Uk Shifts 

Experience Level

Senior Level