WNS | Azure Data Engineer
3 weeks ago
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
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