EndereçoDescription
*Proficiency in English (written and spoken is required). Please submit CVs in English
JOB SUMMARY
The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences
innovation. TDS houses our advanced technology acquisitions, homegrown products & applications,
actively participates in new M&A and partnership activities, delivers critical insights as part of our
integrated strategy for customers and drives enterprise-wide adoption and change management for
innovative tech & data solutions. Our work supports getting meaningful new medicines to patients faster,
with greater positive impact. The QA Engineer supports our business goals by defining the testing
strategies and protocols for analytic dashboard and reporting projects by leveraging our Azure
infrastructure and collaborative resource stack.
JOB RESPONSIBILITIES
Work independently to solve open-ended questions.
Create and apply BI functional testing techniques throughout the BI development lifecycle.
Create and apply automated data validation tests that ensure a high degree of data quality.
Complete efficient defect troubleshooting and root cause analysis.
Gain understanding of how data within the core business systems relates to business activity and
work towards constant improvement of business performance.
Work with key stakeholders to understand business requirements from a data collation point of view,
including all technical requirements to be input into the systems.
Liaise with the development teams during testing phases of the project to identify and work to resolve
defects.
Qualifications
Degree (BS/BA required, MS/MA preferred) in Information Systems, Software Engineering, Computer
Science, Data Engineering, or related fields.
Testing experience on BI platforms.
Experience writing SQL queries including calling stored procedures by passing parameters and
functions using industry leading development tools.
Exposure to Azure Data Factory, Azure Data Lake, ADW, Power BI & Tableau.
Knowledge of cloud-based data warehouse tools, Snowflake preferred.
Experience in issue tracking tools and test management tools (writing test cases, executing tests,
defects life cycle, and generating reports).
Conversant with ELT and Report testing.
Good knowledge on Agile framework, testing methodologies, and SDLC.
Experience and deep skills of testing data warehouse ELT processes.
SQL competency across multiple database technologies (MS SQL Server and Snowflake preferred).
Strong analytical skills and logical approach to problem solving.
