Senior QA Engineer

The HiLabs Story

HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.

HiLabs Team

• Multidisciplinary industry leaders
• Healthcare domain experts
• AI/ML and data science experts
• Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).
  
  

Job Title: Senior Quality Assurance Engineer

Job Location: Bangalore, India

Experience Level: 4-6 years

Job Summary: We are looking for an experienced Senior Quality Assurance Engineer to lead our QA efforts. This is a client-driven role where the focus will be on ensuring the quality and accuracy of data across multiple systems. Candidate should have experience working with tools like SQL, Snowflake, Teradata, ICDQ, and Solr and should be proficient in both functional and non-functional testing practices. You will play a pivotal role in shaping the testing strategy and mentoring other team members.

Responsibilities

• Lead Testing Strategy and Planning: Define and implement comprehensive testing strategies for both functional and non-functional testing to ensure product quality and compliance with client expectations.
• Manual Testing: Execute manual tests, including data validation and integrity checks, ensuring that systems are functioning as expected.
• Python-Based Automation: Develop and maintain automation scripts using Python to streamline repetitive testing tasks, enhance test coverage, and improve overall efficiency in the testing process.
• Cross-functional Collaboration: Work closely with development, data, and business teams to define testing requirements and ensure alignment across the board.
• Mentorship and Leadership: Mentor junior QA engineers and provide guidance on testing best practices, tools, and methodologies. Foster a culture of continuous improvement within the QA team.
• Data Quality Assurance: Leverage your expertise with SQL, Snowflake, Teradata, ICDQ, and Solr for day-to-day data testing activities, ensuring accurate data processing, migration, and integration.
• Data Validation: Create and execute data validation tests across large datasets using data analysis libraries like Pandas and NumPy to ensure data accuracy and integrity.
• Defect Management: Identify, document, and manage defects through the defect life cycle, ensuring timely resolution by coordinating with development teams. Collaborate with cross-functional teams to ensure alignment on testing requirements and outcomes.
• Performance and Scalability Testing: Conduct non-functional testing related to system performance, scalability, reliability, and security, ensuring the system meets quality standards under various conditions.
• Client Interaction: Serve as a key point of contact for QA-related matters with clients, presenting quality metrics, test strategies, and defect trends as needed.
• Continuous Improvement: Identify opportunities to improve testing processes, tools, and methodologies. Ensure the team is staying updated with the latest testing techniques and tools.
• Reporting: Generate and present regular quality assurance reports, including test coverage, defect trends, and testing progress, to stakeholders and clients.
  
  

Required Skills And Qualifications

• Extensive experience in manual testing, with a focus on data testing and validation.
• Deep understanding of SQL, Snowflake, Teradata, ICDQ, and Solr, with proven experience using these tools in a testing capacity.
• Expertise in both functional and non-functional testing, including performance, scalability, and security.
• Proven leadership skills with the ability to mentor and guide junior team members.
• Strong knowledge of test management tools, defect tracking systems, and QA methodologies.
• Experience with complex SQL queries and data validation in multiple databases.
• Exceptional communication and collaboration skills, with experience working closely with clients.
• Strong problem-solving skills and attention to detail.
  
  

Preferred Qualifications

• Previous experience in a senior or lead QA role in a client-facing environment.
• Familiarity with automation tools and frameworks (a plus, but not mandatory).
• Experience with testing in cloud-based environments, particularly using data warehouses like Snowflake.
  
  

HiLabs is an equal opportunity employer (EOE). No job applicant or employee shall receive less favorable treatment or be disadvantaged because of their gender, marital or family status, color, race, ethnic origin, religion, disability, or age; nor be subject to less favorable treatment or be disadvantaged on any other basis prohibited by applicable law.

HiLabs is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce to support individual growth and superior business results.

Thank you for reviewing this opportunity with HiLabs! If this position appears to be a good fit for your skillset, we welcome your application.

HiLabs Total Rewards

Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.

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