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QA Engineer - Data Warehouse

ComeOn Group in short

Founded in 2008, ComeOn Group is a leading global player in the rapidly growing iGaming market. Having launched its first online brand in 2010, ComeOn Group is running a wide range of exciting brands across multiple markets. Operating more than 20 brands on its proprietary platform providing a secure, innovative and entertainment-led player experience across casino and sports betting. ComeOn Group is an international employer within the iGaming industry and has over 500 talented employees across 7 main locations. 

Location: Malta - Hybrid

As a DWH QA Engineer, you will be responsible for ensuring the quality, accuracy, and reliability of data in a data warehouse system. This role involves testing ETL (Extract, Transform, Load) processes, data integration, and analytics/reporting systems to ensure they meet business and technical requirements. You will be involved in defining the QA processes that the team uses. You will be working as a part of agile teams on all SDLC phases. As a person, you are proactive, open-minded and want to challenge yourself to learn and develop further.


Requirements

  • Validate data transformations, mappings, and business logic during ETL and streaming data integration processes.
  • Perform data reconciliation between source and target systems.
  • Conduct comprehensive data quality checks to ensure accuracy, consistency, and completeness.
  • Identify and resolve data loading issues and discrepancies.
  • Validate job scheduling, triggers, and error handling in ETL and data integration streaming workflows.
  • Execute functional testing of data warehouse solutions against business requirements.
  • Ensure system compliance with data governance and regulatory standards.
  • Develop automated testing frameworks and scripts for data validation.
  • Use tools or custom scripts for repetitive testing tasks.
  • Support PO's to break down epic stories into sizeable development chunks to ensure there is a stream of smaller tasks available for testing.
  • Work closely with data engineers, analysts, and business stakeholders to understand requirements and resolve issues.
  • Provide clear documentation of test cases, results, and defect tracking.
  • Coordinate test activities during different phases of the project
  • Assist in planning and controlling the test environment to make sure test environments are in healthy condition for test activities
  • Communicate with all stakeholders to report the status of the test and to highlight any issues that might hamper the release

About You

  • Excellent command of written and spoken English
  • Hands-on testing (UI, Usability, Functional and Integration, BI)
  • Data analysis and reconciliation of data between source and target reporting layers
  • Experience of running the manual test tasks from the project start to finish. Reporting on progress in line with the processes and escalating issues and risks where appropriate
  • Experience in the creation of test strategies with focus and maintenance of quality standards and validation techniques
  • Experience with JIRA or similar test management tools
  • Experience working in agile methods like SCRUM / KANBAN
  • Working experience in relational databases; SQL preferred
  • No military obligation for male candidates

Desired Skills:

  • Proficiency in SQL for querying and validating data. 
  • Familiarity with ETL tools.
  • Knowledge of cloud-based data warehouses (e.g. BigQuery)
  • REST-API testing using Postman / SoapUI / REST-ASSURED or any other similar frameworks
  • Hands-on experience with test management and defect tracking tools (e.g., Jira, TestRail).
  • Understanding of Cypress and Selenium test automation frameworks.
  • Experience in complex systems with several external integrations, multiple languages and currencies
  • Strong problem-solving and data analysis abilities.
  • Detail-oriented with a focus on data accuracy and consistency.
  • Strong organisational skills and ability to manage multiple tasks.
  • We expect you to have at least 5 years of working experience.
  • No restriction to travel abroad.
    So what can you expect from ComeOn as a place of work?
    • A competitive remuneration package inc. a company bonus scheme! 💰
    • Fantastic quarterly team events and weekly company events 😎
    • A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!) 🌎
    • On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere
    • €250 Annual Wellbeing Allowance (Claimable after probation).
    • A comprehensive, International private Health Insurance.
    • A €250 One-time Hybrid Allowance to help you set-up your home office.
    • Breakfast at the office on Tuesdays.
    • Lunch at the office on Mondays and Wednesdays

At ComeOn, we've embraced a Hybrid Work model, giving our employees the flexibility to work some days at home. Our offices are thoughtfully designed to support this model, featuring practical workspaces for focused efforts and collaborative zones for dynamic creative exchanges. We believe in the power of collaboration to drive innovation and success. While our offices are known for their vibrant atmosphere, rest assured that our primary focus is on achieving results together. We prioritize efficiency and maintain a balance between hard work and camaraderie. When you visit our offices, expect a warm welcome and professional support. Choose ComeOn for your next career move, and experience a workplace that values productivity, teamwork, and the spirit of collaboration.

At ComeOn Group we value diversity, and we take concrete action to ensure fairness in our recruitment process. We are committed to assess candidates on their merit without discriminating against any applicant for whatever reason that is protected by law. We truly value you, as you are. Want to know more about us just visit our website www.comeon-group.com or any of our social media channels to take a deep dive into our culture!

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CEO of ComeOn Group
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Juergen Reutter
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What You Should Know About QA Engineer - Data Warehouse, ComeOn Group

Are you ready to take your career to the next level with ComeOn Group as a QA Engineer - Data Warehouse? Since our founding in 2008, we've been making waves in the iGaming world by offering an innovative and secure player experience across more than 20 unique brands! Based in Malta, we operate on a hybrid work model, allowing you to enjoy the perfect work-life balance. In this exciting role, you'll be at the forefront of ensuring the quality, accuracy, and reliability of our data warehouse systems. Your responsibilities will include testing ETL processes, conducting data quality checks, and collaborating with data engineers and analysts to resolve any discrepancies. We value proactivity and a thirst for knowledge, so this is your chance to be part of an agile team where you'll define and refine QA processes throughout the software development lifecycle. You’ll work with people who are as passionate about data as you are and have the opportunity to develop automated testing frameworks that will truly make a difference. You don’t need to have military obligations, and we’re looking for candidates with at least 5 years of experience in this field. Join us, and let's create a workplace that values productivity, teamwork, and collaboration. Whether you’re in the office or working from home, you’ll be supported every step of the way. Don’t just work somewhere; work somewhere awesome!

Frequently Asked Questions (FAQs) for QA Engineer - Data Warehouse Role at ComeOn Group
What are the primary responsibilities of a QA Engineer - Data Warehouse at ComeOn Group?

As a QA Engineer - Data Warehouse at ComeOn Group, your main responsibilities will revolve around ensuring the quality and accuracy of our data warehouse systems. You will be tasked with testing ETL processes, performing data reconciliation, conducting comprehensive data quality checks, and validating data integration workflows. Additionally, you will support project owners in breaking down tasks for testing and document the results meticulously to help improve best practices.

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What qualifications are required for the QA Engineer - Data Warehouse position at ComeOn Group?

Candidates applying for the QA Engineer - Data Warehouse role at ComeOn Group should have a minimum of 5 years of relevant experience. Proficiency in SQL is a must, along with hands-on experience in testing various systems such as UI and usability. Familiarity with ETL tools, and the ability to develop automated testing frameworks will also significantly enhance your chances for this role. Strong problem-solving abilities and attention to detail are essential.

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How does the hybrid work model function for the QA Engineer - Data Warehouse at ComeOn Group?

ComeOn Group embraces a hybrid work model that allows you to balance time between the office and your home workspace seamlessly. As a QA Engineer - Data Warehouse, you can work remotely for up to 40 days a year while enjoying the vibrant office culture. The office is designed with both collaborative zones and focused workspaces, ensuring that you have the right environment to excel whether you are at home or in the office.

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What tools and technologies should a QA Engineer - Data Warehouse at ComeOn Group be familiar with?

A QA Engineer - Data Warehouse at ComeOn Group should be well-versed in SQL for data validation and familiar with ETL tools. Additionally, experience with test management tools such as Jira and an understanding of cloud-based data warehouses like BigQuery can be highly beneficial. Familiarity with testing APIs using tools like Postman or SoapUI will add further value to your skillset.

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How is success measured for a QA Engineer - Data Warehouse at ComeOn Group?

Success for a QA Engineer - Data Warehouse at ComeOn Group is measured through the accurate validation of data transformations and the efficiency of the QA processes you help define. Clear documentation, timely reporting on testing activities, and the ability to identify and resolve issues before data goes live are critical performance indicators. You'll also work closely with stakeholders to address any problems that could affect release timelines.

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Common Interview Questions for QA Engineer - Data Warehouse
What are the key components you focus on when testing ETL processes?

When testing ETL processes, it's crucial to focus on data accuracy, consistency, and completeness. You should validate the mappings, ensure that transformations preserve data integrity, and conduct reconciliation between source and target systems. Discuss how you approach monitoring job schedules and error handling as well.

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Can you explain your experience with SQL in data validation tasks?

When asked about SQL experience, emphasize your proficiency in querying databases to extract insights and validate data. Be prepared to provide examples of queries you've written for reconciliation tasks or issues you've resolved using SQL, demonstrating how you've ensured data integrity.

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How do you keep track of your testing progress and issues?

Successful QA Engineers keep meticulous records of their testing progress and issues using test management tools like Jira. Discuss how you document test cases, results, and defect tracking, and explain the importance of clear communication with stakeholders in your process.

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What steps do you take to validate data transformations?

Validating data transformations involves a multi-step process. Begin by checking data mappings to ensure they meet specifications. Follow this with testing against business rules and logic, and finally conduct sampling checks to confirm that results align with expectations. Be prepared to share examples from past work situations where you successfully validated transformations.

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How do you prioritize testing tasks in an agile environment?

In an agile environment, prioritize testing tasks by working closely with product owners to break down epics into manageable stories. Use backlog reviews to assess which tasks deliver the most value, and ensure that testing is integrated throughout the SDLC rather than just at the end of a sprint.

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Can you describe a challenging defect you encountered and how you resolved it?

Share a specific example of a challenging defect, detailing how you identified the root cause, what steps you took to document and communicate it, and how you collaborated with other team members to resolve the issue. This highlights your problem-solving and communication skills.

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What automated testing frameworks have you used, and why do you prefer them?

Discuss the automated testing frameworks you've used, such as Cypress or Selenium. Explain why you prefer them, whether it's their robust capabilities for regression testing or ease of integration with existing workflows. Share experiences where automation significantly improved testing efficiency.

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What do you do to ensure data quality in your testing?

To ensure data quality, I start by conducting thorough data quality checks against established criteria, including accuracy and consistency. I use both manual review processes and automated tests to identify discrepancies. Additionally, collaborating with data engineers helps me understand the data flow better and address quality issues promptly.

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How do you adapt your testing strategies for different projects?

I adapt my testing strategies by first conducting a project scope analysis and understanding the specific requirements and risks involved. This allows me to customize my approach depending on whether the project is data-centric or feature-driven. Flexibility is key, and I ensure open communication with the team to align on goals.

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What experience do you have with cloud-based data warehouses?

When discussing experience with cloud-based data warehouses, provide examples of projects where you've used platforms like BigQuery. Highlight how you've navigated challenges related to performance or scalability and the best practices you've employed for leveraging cloud technologies effectively in data validation tasks.

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To offer all players a safe, entertaining and personalised experience through engaging brands and products by using the power of data and continuously striving to improve, simplify, and innovate.

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Full-time, hybrid
DATE POSTED
January 8, 2025

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