Lead QA Engineer – Talent Connection

Role Overview

• Lead and manage the QA team within the data engineering department, including task assignment, performance reviews, mentoring, and professional development.
• Design and implement comprehensive QA strategies for data pipelines that align with industry best practices and company standards. You will focus on ensuring the pipelines' reliability, performance, and scalability.
• Oversee the testing of complex data integration workflows. This includes working with data pipelines that consolidate revenue data from 16 different billing systems, ensuring accuracy and consistency as they are migrated to Databricks.
• Develop and execute test plans, test cases, and test scripts for data pipelines. This involves collaborating with data engineers to review Azure Data Factory pipelines, Databricks notebooks, and Power BI reports. Ensure that all edge cases, transformations, and data processes are accurately validated.
• Automate the validation of legacy system data (JSON) as it is ingested into Databricks, including JSON comparisons and the transition of data from the current state to the future state.
• Work closely with data engineers, product owners, and stakeholders to ensure the development and testing of data pipelines meets project goals.
• Participate in Agile 2-week iterations, helping with backlog grooming, acceptance criteria, and ensuring all testing efforts align with business goals.
• Work with the team to ensure that data is automatically ingested and validated, reducing manual efforts.
• Mentor junior QA engineers, helping them develop their careers, expand their skill sets, and grow within the organization.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ Years of experience working in QA roles.
• 2+ Years of experience working in a lead role.
• Strong background in Azure Data Factory, Azure Databricks, and related Azure services (Logic Apps, Function Apps).
• Experience with data validation, nested JSON, and legacy system integration is essential.
• Familiarity with Power BI for data validation is required.
• Proficiency in SQL, Python, PySpark, and automated testing frameworks.
• Strong understanding of data pipeline architectures, ETL processes, and cloud data platforms (Azure).
• Experience with test automation tools (e.g., Postman, Jira, Zephyr).
• Ability to perform performance testing and troubleshoot issues related to data integrity, scalability, and data transformations.
• Proven experience in leading and managing a QA team, including task assignment, mentoring, and team development.
• Agile experience with a focus on 2-week iterations, backlog grooming, and sprint-based delivery.
• Relevant certifications in QA (e.g., ISTQB) and Azure technologies (e.g., Azure Data Engineer or Azure Fundamentals) are a plus.
• Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

Tech Stack

• Azure
• Cloud
• ETL
• PySpark
• Python
• SQL

Benefits

• Competitive USD salary 💲– We value your skills and contributions!
• 100% remote work 🏢– While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!
• Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!
• National Holidays celebrated 🌴– Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
• Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
• Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!
• Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.
• Birthday day off 🎂– Enjoy an extra day off during your birthday week to celebrate in style with friends and family!