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- Tasks: Join us as a Software Tester focusing on ETL and Python, ensuring data quality.
- Company: We're a dynamic tech company based in London, embracing remote work culture.
- Benefits: Enjoy a competitive salary, flexible working options, and great corporate perks.
- Why this job: Be part of a collaborative team, making an impact in data testing and quality assurance.
- Qualifications: 8+ years in data project testing, with strong SQL and Python skills required.
- Other info: SC eligibility is necessary if not SC clearance.
The predicted salary is between 48000 - 72000 £ per year.
Location: London / Remote
Employment Type: Permanent
Competitive Package: Per annum with Benefits
Key Concepts:
- ETL (Extract, Transform, Load) and Data Warehousing
- SQL
- Testing Concepts
- AWS (Amazon Web Services) for Testing
- Python Testing
- Jira (Experience in using Jira for requirements and bug tracking)
- Testing with Voluminous Data
- Experience with S3 Buckets, Airflow Jobs, Snowflake, and CloudWatch
Key Responsibilities & Requirements:
- Software Quality Assurance Experience: Proficient in Data Warehouse Testing.
- Data Warehouse Knowledge: In-depth understanding of data warehousing concepts.
- Back-end/ETL Testing: Extensive experience required, along with strong SQL skills.
- Business Requirement Evaluation: Ability to assess business requirements and determine the necessary testing types (e.g., data validation, regression testing).
- 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).
- Test Planning: Ability to create comprehensive test plans and test cases that align with business and technological solutions.
- Software Test Life Cycle: Thorough understanding of the Software Test Life Cycle, Test Case Life Cycle, and Defect Life Cycle.
- Agile Experience: Exposure to Agile methodologies, Jira, and test management tools (e.g., ALM, RTM, TestFLO, Zephyr).
- ETL Tools Knowledge: Preferred experience or familiarity with ETL tools.
- Automation Framework: Experience in creating an automation framework for data validation is a plus.
- Analytical Skills: Detail-oriented with a strong analytical mindset.
- Team Collaboration: Ability to contribute individually or coordinate effectively within a team.
- 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).
- A minimum of 8 years of relevant experience is required, with the ability to handle the responsibilities outlined above independently.
SC eligibility is required if not SC clearance.
Software Tester - ETL and Python employer: Athsai
Contact Detail:
Athsai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Tester - ETL and Python
✨Tip Number 1
Familiarise yourself with the specific ETL tools mentioned in the job description. Having hands-on experience or even a solid understanding of tools like AWS Glue or Redshift can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on complex queries and data validation techniques. Being able to demonstrate your proficiency in SQL during interviews will be crucial for this role.
✨Tip Number 3
Gain a solid understanding of Agile methodologies and how they apply to testing. Familiarity with Jira for tracking requirements and bugs will be beneficial, so consider exploring online resources or tutorials to enhance your knowledge.
✨Tip Number 4
Prepare to discuss your experience with testing voluminous data and creating test plans. Be ready to share specific examples from your past roles that highlight your analytical skills and attention to detail.
We think you need these skills to ace Software Tester - ETL and Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL testing, SQL, and Python. Include specific projects where you've used these skills, especially in data warehousing and AWS.
Craft a Strong Cover Letter: In your cover letter, emphasise your understanding of the Software Test Life Cycle and your experience with Agile methodologies. Mention how your analytical skills and attention to detail make you a great fit for the role.
Showcase Relevant Experience: When detailing your work history, focus on your roles related to data projects, particularly those involving ETL pipelines and automation frameworks. Use metrics to demonstrate your impact, such as improvements in testing efficiency or quality.
Prepare for Technical Questions: Be ready to discuss your technical expertise in SQL, Python, and AWS during interviews. Prepare examples of how you've tackled challenges in previous testing roles, particularly with voluminous data and test planning.
How to prepare for a job interview at Athsai
✨Showcase Your ETL Expertise
Make sure to highlight your experience with ETL processes during the interview. Be prepared to discuss specific projects where you have successfully implemented ETL testing, focusing on the challenges you faced and how you overcame them.
✨Demonstrate SQL Proficiency
Since strong SQL skills are a must-have, be ready to answer technical questions or even solve problems on the spot. Brush up on your SQL knowledge and consider preparing examples of complex queries you've written in past roles.
✨Familiarise Yourself with Agile Methodologies
As Agile experience is important for this role, be prepared to discuss how you've worked in Agile environments. Share examples of how you collaborated with teams using tools like Jira and how you adapted to changing requirements.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your analytical skills and problem-solving abilities. Think of situations where you had to evaluate business requirements and determine the appropriate testing types, and be ready to explain your thought process.
