Backend Automation Tester with ETL, Python, Azure

Backend Automation Tester with ETL, Python, SQL, Azure

Position Description
Job Title: Automation Tester with ETL, Python, Azure
Experience Level: 4 to 8 years

Location: Bangalore TPLS office

Timings: 3 days WFO, shift timings 1pm-10pm

We are seeking a highly skilled Automation Tester with strong expertise in ETL processes, Python scripting, SQL, and a Azure experience. This role is critical to ensuring the quality and efficiency of our data integration and automation projects.
Key Responsibilities:

• Automation Testing: Design, develop, and execute automated test scripts for ETL processes using Python and other relevant tools.
  • ETL Testing: Validate data transformations, data quality, and data integrity throughout the ETL pipelines.
  • SQL Expertise: Write complex SQL queries to verify data correctness and perform thorough back-end testing of databases.
  • Python Scripting: Develop and maintain automation scripts using Python to test various data processing and integration workflows.
  • Should have good experience in Azure functions
  • Test Planning & Execution: Create detailed test plans, test cases, and test reports. Perform both functional and non-functional testing.
  • Defect Tracking: Identify, log, and track defects in collaboration with development teams to ensure timely resolution.
  • Collaboration: Work closely with developers, data engineers, and product owners to understand requirements and improve overall product quality.
  • Continuous Improvement: Stay updated with the latest testing tools, methodologies, and best practices to enhance the automation testing framework.
  

Qualifications:

• Experience: 4+ years of experience in automation testing with a focus on ETL, data warehousing, or big data environments.
  • Technical Skills: Strong proficiency in SQL for complex queries and database testing. Solid experience with Python for test automation and scripting. Hands-on experience with ETL tools (e.g., Informatica, Talend, etc.). Familiarity with DevOps practices and tools such as Jenkins, Git, Docker, etc.
  • Analytical Skills: Strong analytical and problem-solving skills, with attention to detail in identifying issues and ensuring data accuracy.
  • Communication: Excellent verbal and written communication skills to work effectively within a team and with stakeholders.
  • Education: Bachelors degree in Computer Science, Information Technology, or a related field. Relevant certifications are a plus.