**Job Title:** QE – Tester – DATA
**Location:** London / Remote
**Employment Type:** Permanent
Salary permanent – 75k PA
**Key Concepts:**
– Jira (Experience in using Jira for requirements and bug tracking)
– Testing with Voluminous Data
– Experience with S3 Buckets, Airflow Jobs, Snowflake, and CloudWatch
– ETL and Data Warehousing
– SQL
– Testing Concepts
– AWS (Amazon Web Services) for Testing
– Python Testing
**Key Responsibilities & Requirements:**
1. **Software Quality Assurance Experience:** Proficient in Data Warehouse Testing.
2. **Data Warehouse Knowledge:** In-depth understanding of data warehousing concepts.
3. **Back-end/ETL Testing:** Extensive experience required, along with strong SQL skills.
4. **Business Requirement Evaluation:** Ability to assess business requirements and determine the necessary testing types (e.g., data validation, regression testing).
5. **Test Process Orientation:** Strong familiarity with test scenario identification and test data preparation techniques; knowledge of required test documents (e.g., Requirement Traceability Matrix, Test Strategy, Test Plan, Test Evidence).
6. **Test Planning:** Ability to create comprehensive test plans and test cases that align with business and technological solutions.
7. **Software Test Life Cycle:** Thorough understanding of the Software Test Life Cycle, Test Case Life Cycle, and Defect Life Cycle.
8. **Agile Experience:** Exposure to Agile methodologies, Jira, and test management tools (e.g., ALM, RTM, TestFLO, Zephyr).
9. **ETL Tools Knowledge:** Preferred experience or familiarity with ETL tools.
10. **Automation Framework:** Experience in creating an automation framework for data validation is a plus.
11. **Analytical Skills:** Detail-oriented with a strong analytical mindset.
12. **Team Collaboration:** Ability to contribute individually or coordinate effectively within a team.
13. **Communication Skills:** Strong communication skills to articulate thoughts clearly to both business stakeholders and team members.
**Must-Have Qualifications:**
– Experience in testing data projects (e.g., ETL pipelines, data migration, data ingestion).
– Proficient in developing and executing test automation using SQL, Python, and AWS services (e.g., Lambda, Glue, Redshift, DynamoDB).
Contact Detail:
Athsai Recruiting Team