Azure Data Engineer - Pharma Domain

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

overview

Roles and Responsibilities

• Build ETL & data pipelines to help feed the data into data products/dashboards
• Automate processes and workflows to drive efficiencies for client
• Liaise with different stakeholders on ad-hoc analyses and monitoring the entire DWH/Data Lake
• Working with stakeholders to gather requirements, provide efficient data solutions and designing the build
• Use best practices to deliver results, efficiency and quality for data and visualization requirements
• Collaborate and support the analytics team to help them understand the data flow

Desired Profile

Experience working on Azure services primarily Azure Data Factory, Logic App, Databricks, PySpark & Key Vault

• Working knowledge with database technologies with a strong expertise of SQL
• Design databases, data pipelines
• Creating data models and robust data pipelines supporting BI/client reporting
• Understanding of data architecture, data modeling, DWH and ELT/ETL concepts
• Experience on transforming and loading various data sources
• Experience in Healthcare/ Lifesciences/ Pharmaceutical domain specifically IQVIA datasets (Xponent, PlanTrak, DDD), Veeva datasets

Good to have Skills

• Experience in Healthcare Datasets – Patient Claims, LAAD
• Exposure in AWS cloud services
• Exposure to Master Data Management
• Exposure in BI tools (e.g. Tableau, PowerBI)

Basic Qualifications

BE/B.Tech/Masters in Computer Science/ Information Technology

Qualifications

Graduate