At a Glance
- Tasks: Design and execute test cases for data pipelines and ensure data quality.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on continuous improvement and career advancement.
- Why this job: Be at the forefront of data testing and make a real impact in cloud environments.
- Qualifications: Experience with PySpark, SQL, and cloud platforms like Azure or AWS.
The predicted salary is between 40000 - 50000 £ per year.
We are seeking a skilled QA Engineer with hands-on experience in data validation, ETL testing, and cloud-based data platforms. The ideal candidate should possess strong technical expertise in PySpark, Spark SQL, Databricks, and cloud environments, with the ability to validate and ensure the quality of large-scale data processing solutions.
Key Responsibilities
- Design, develop, and execute test cases for data pipelines and ETL processes.
- Validate data quality, integrity, transformation, and migration across systems.
- Perform testing of Spark and Databricks-based data solutions.
- Develop and execute SQL and PySpark scripts for data validation.
- Collaborate with data engineers, developers, and business stakeholders to understand requirements and ensure quality delivery.
- Identify, document, and track defects through resolution.
- Participate in Agile ceremonies, including sprint planning, reviews, and retrospectives.
- Contribute to test automation initiatives and continuous improvement of testing processes.
Must-Have Skills
- Hands-on experience with PySpark / Spark SQL and SQL.
- Experience working on Cloud Platforms: Azure (preferred), AWS, Google Cloud Platform (GCP/GCS).
- Experience with Databricks or other Spark-based platforms.
- Strong understanding of data validation and testing methodologies.
Preferred Qualifications
- Experience with Databricks or Spark-based platforms.
- Knowledge of Data Warehouse concepts and ETL testing methodologies.
- Experience with test automation frameworks.
- Exposure to containerization technologies such as Docker and Kubernetes.
- Understanding of Agile/Scrum methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
Desirable skills/knowledge/experience:
- Experience with CI/CD pipelines.
- Knowledge of data quality tools and monitoring frameworks.
- Exposure to DevOps practices and cloud-native architectures.
- 3–5 years of overall QA/Test Engineering experience.
- 2–3 years of relevant experience in Data Testing, ETL Testing, or Big Data Testing.
Key Stakeholders
- Heads of Customer Operations, Customer Services, Billing/Metering, IT Service, Data & AI.
- Enterprise Architecture, Solution Architecture, Product Owners, Programme Managers.
- Data & Analytics leaders, Cyber and Risk teams.
- Vendors / Systems Integrators / Managed Service providers.
Required Skills & Experience
Please share suitable specialist profiles with demonstrable experience in complex multi-environment landscapes, cross-team coordination in large programmes, strong governance, audit, and control frameworks, and managing competing delivery and testing priorities.
Data Tester in Reading employer: Tcs Uk
Join a forward-thinking company that values innovation and collaboration, where as a Data Tester, you will play a crucial role in ensuring the quality of large-scale data processing solutions. Our inclusive work culture fosters continuous learning and professional growth, offering opportunities to engage with cutting-edge technologies in a dynamic cloud environment. Located in a vibrant area, we provide a supportive atmosphere that encourages teamwork and celebrates achievements, making us an excellent employer for those seeking meaningful and rewarding careers.
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We think this is how you could land Data Tester in Reading
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We think you need these skills to ace Data Tester in Reading
Some tips for your application 🫡
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