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Data Engineer, Systems & Real Data Factory - RWAS Technology (R1040117) in Warsaw, PL at IQVIA™

Date Posted: 2/3/2019

Job Snapshot

Job Description

Data Engineer, Systems & Real Data Factory

Real-World & Analytics Solutions (RWAS) Technology

Play a key role in the integration and continual enhancement of a reporting tool within the Real-World Evidence division; This tool will provide analytics and visualisations within an exciting new platform that is transforming healthcare data and providing new ways to understand diseases and the impact of medicines. In this role, you will have close collaboration with the Product Owner, working within a team environment driven by Scum principles. You will harness your experience and expertise with development in reporting and analytics to define and action solutions to pressing business needs.

A typical day might include:

  • Liaising with internal teams and stakeholders to provide recommendations on how to optimise the use of available data for analytics and reporting
  • Describing the data using SQL or Python to allow for creation of a centralised & consistent library of data sets and visualisations
  • Managing the core model of the analytics product, curating data, generating metrics, managing introduction of new datasets and pushing these to various business units 
  • Facilitating a consistent understanding and view of the data across different local offices
  • Deploying components or services of the analytics tool and facilitates the injection of datasets for analysis
  • Administration of the analytics tool, debugging, monitoring, trouble shooting and creation of performance metrics 

Our ideal candidate:

  • Substantial experience with SQL development and its variation among popular databases 
  • Significant experience with reporting, BI and data analysis 
  • Considerable experience with Python, specifically in the context of data engineering and processing
  • Exposure to big data tools and techniques
  • Proficient in best practice when dealing with relational database.
  • BS/MS degree in Computer Science, Engineering or a related subject
  • Experience in data warehouse design
  • Familiarity with the practical application of NoSQL\NewSQL databases
  • Habitually documents work thoroughly within tools such as Confluence
  • Experience with healthcare/pharmaceutical data advantageous
  • Experience working within Scrum

Bonus points for experience with:

  • Java and/or Scala
  • Developing data pipelines in Spark & Hadoop

The Business Unit: Real-World & Analytics Solutions (RWAS) Technology

 “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools. 

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

Job ID: R1040117