Senior QA Engineer / QA Engineer - Data Analytics
The role is to pay attention to details and apply out-of-the-box thinking and statistical knowledge to the Data Analytics project. This position is within our data science team and the individual has to work with Data Analytics Engineers, Software Engineers, and BI people in the team to create solutions to improve the quality of the implemented system.
- Collaborate with data analytics engineers to understand business requirements, data analytics, and learning models.
- Create detailed, comprehensive, and well-structured manual test cases with a variety of data sets
- Help investigating issues by analysing destination data sets and formats
- Applying statistical concepts to validate input data and models
- Cross check final results with the given data and make sure they are as accurate as possible
- Develop documentation for reporting test status and results
- Work with technical resources to analyze root causes of issues and recommend corrective actions
- Testing UI/UX and the performance
- Suggest new tools and techniques to improve testing efficiency
- Regression test planning, test execution and, and defect reporting
- BSc in Information management, Data Analytics, Computer Science, or related field. MSc in Data Analytics, Data Science, or related fields will be an advantage
- 5+ years of experience in Information Technology
- 2+ years of experience in Data Engineering and implementations
- Solid experience in Azure Data Bricks, Azure Data Lake, Azure Logic Apps and Azure Data Factories is a must
- Good understanding of database technologies including RDBMS, DW/DL, Cloud, NoSQL and ELT/ETL with Data Warehouse solutions
- Hands-on experience in Python/Spark/Kafka
- Ability to work with multiple projects simultaneously
- Fluent English – spoken and written
- Strong presentation skills, as well as a business-building mindset, would be key advantages
1 Billion Tech is an innovative software engineering services and technology product consulting company headquartered in Silicon Valley, USA.
Our global clients are distributed into multiple industry verticals including telco, financial services, logistics, security, capital markets, apparel and manufacturing. We believe in a core set of values which is an intrinsic part of each of our team members.