Engineering Sr Analyst (QA)
Engineering Sr Analyst (QA)
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Job Description
The QA Engineer position is focused on providing an excellent experience to our customers through fully understanding their requirements and working collaboratively with the technical architects project management and development teams to develop and implement solutions to meet the customers needs. Further this position is expected to be an advocate for the quality of Blend360 services to our customers leveraging and/or integrating with new QA products/technologies and providing mentorship to develop junior QA engineers within Blend 360.
Responsibilities
Coordinating with the development team to identify any potential issues in the design or development process that may impact the quality of the final product.
Validate data quality model performance and system functionality throughout all phases of the solution lifecycle
Develop and execute test plans to ensure solution accuracy reliability and alignment with defined business and technical requirements.
Estimating prioritizing planning and coordinating testing activities
Contribute to architecture and design activities.
Evaluate business needs and objectives.
Seek alternative technology solutions to problems
Explore ways to enhance data quality and reliability
Collaborate with Data engineers Architects data scientists and business analysts
Qualifications :
3 years of experience as a QA Engineer SDET or in a similar role
Degree in Computer Science Data Science Mathematics IT or a related field
English level B2 or higher
Deep understanding of at least one object-oriented programming library (preferably Python)
Strong SQL skills and good knowledge of SQL-based data warehouses and relational databases
Intermediate or higher proficiency in PySpark
General interest in technology with the ability to learn and adapt to new tools and evolving requirements
Familiarity with Azure services including Azure Data Lake Blob Storage and Key Vault
Ability to communicate effectively with both developers and management explaining the pros and cons of different technical approaches
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Flexible Work:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
