Engineering Sr Analyst (QA)

Bogotá, Bogota, Colombia

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

BLEND360 is an award-winning, new breed Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.

Who we are:

People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:

  • Collaborate with a smart, passionate group of people who are invested in your success.
  • Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
  • Thrive with a company and leadership team who are committed to growth.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure Computer Science Databricks Data quality Engineering Mathematics OOP PySpark Python RDBMS Snowflake SQL Testing

Perks/benefits: Career development Flex hours

Region: South America
Country: Colombia

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