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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 software testing, with strong skills in SQL, Python, and AWS required.
- Other info: SC eligibility is necessary; experience with ETL tools is a plus.
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 these tools 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 AWS services relevant to testing, such as Lambda and Glue. Showing that you can leverage cloud technologies in your testing processes will make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with Agile methodologies and tools like Jira. Be ready to share examples of how you've used these tools to manage testing processes and collaborate with teams effectively.
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. Use specific examples from your past roles that demonstrate your proficiency in these areas, as well as your familiarity with AWS services.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the key responsibilities outlined in the job description, particularly your experience with data warehousing and Agile methodologies.
Showcase Relevant Projects: If you have worked on relevant projects, especially those involving ETL pipelines or data migration, be sure to include them in your application. Describe your role and the impact of your contributions to highlight your analytical skills and test process orientation.
Prepare for Technical Questions: Anticipate technical questions related to ETL testing, SQL queries, and Python automation. Be ready to discuss your approach to test planning and execution, as well as your experience with tools like Jira and CloudWatch.
How to prepare for a job interview at Athsai
✨Showcase Your ETL Expertise
Be prepared to discuss your experience with ETL processes in detail. Highlight specific projects where you have successfully implemented ETL testing, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate SQL Proficiency
Since strong SQL skills are a must, brush up on your SQL knowledge before the interview. Be ready to answer technical questions or even solve problems on the spot that demonstrate your ability to write complex queries and validate data.
✨Familiarise Yourself with Agile Methodologies
Understanding Agile practices is crucial for this role. Be prepared to discuss your experience working in Agile environments, how you’ve used Jira for tracking requirements and bugs, and how you collaborate with teams in such settings.
✨Prepare for Technical Questions on Python and AWS
Given the emphasis on Python and AWS services, review key concepts and be ready to discuss how you've used these technologies in your previous roles. Consider preparing examples of automation frameworks you've developed or worked with.
