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Software Development Engineer in Test

2 weeks ago


Bengaluru Hyderabad, India S&P Global Market Intelligence Full time ₹ 9,00,000 - ₹ 12,00,000 per year

The Role: Software Development Engineer in Test (SDET)

The Team:Join a team that thrives in an agile environment, focusing on delivering high-quality data solutions. As a Mid-Level ETL Tester, you will collaborate with a group of skilled and ambitious professionals dedicated to ensuring the integrity and performance of our data systems. The team operates independently, driving decisions and quickly adapting to new challenges to maintain the highest standards of quality and efficiency.

The Impact:Your role will be crucial in achieving personal and team objectives by addressing moderately complex problems through comprehensive analysis of various factors. You will contribute to the automation of ETL processes, ensuring they meet the definition of done within the Scrum framework. Your expertise will help integrate QA best practices and optimize performance testing using tools like JMeter, while implementing CI/CD by integrating automation builds into development pipelines.

Whats in it for you?

  • Work alongside a team of highly skilled, ambitious, and result-oriented professionals.
  • Utilize a wide range of cutting-edge technologies to innovate and enhance testing processes.
  • Engage in a challenging environment that fosters skill development in automation, performance, and data analytics.
  • Access numerous opportunities for skill building, knowledge sharing, and innovation.

Responsibilities:

  • Design, develop, and execute ETL test plans and test cases based on functional and design specifications. Analyze and report test results to the relevant teams.
  • Develop automation and performance solutions that adhere to organizational standards, building reliable, reusable, and maintainable automated regression suites and test harnesses.
  • Collaborate with development teams to deliver business functionality on time and with the required quality that meets acceptance criteria.
  • Engage in active cooperation and collaboration with global teams across various geographic locations.
  • Focus on building efficient solutions for ETL processes, database testing requirements, and data quality frameworks.
  • Participate in internal/cross-team meetings, project scoping, functional reviews, test specifications, and technical reviews in an Agile environment.
  • Involve in requirements review and participate in architecture/design reviews with an emphasis on test automation/performance strategy and ensuring best practices.
  • Participate actively in functional, system, and regression testing activities.
  • Capture quality assurance data and metrics to provide insights and conclusions.
  • Estimate and perform risk analysis for quality delivery.
  • Provide prompt response and support in resolving critical issues alongside the development team.
  • May require after-hours/weekend work for production implementations.

What were looking for:

  • Bachelor's or higher qualification in Computer Science, Information Systems, or equivalent.
  • 6+ years of experience in software quality assurance, particularly in ETL and data warehouse testing.
  • Proficient in writing complex SQL/T-SQL queries, including creating SQL views/materialized views.
  • Extensive experience with Informatica, PL/SQL, reports testing, and ETL processes.
  • Experience in executing test cases, reporting defects, and conducting defect triage calls.
  • Strong understanding of Software Test Life Cycle, Test Case Life Cycle, and Defect Life Cycle.
  • Expertise in QA automation test tools such as Selenium, TestNG, Cucumber, and Appium.
  • Experience with data analysis, profiling, auditing, balancing, and reconciliation in an IT operating environment.
  • Good communication skills are essential, with strong verbal and writing proficiencies.
  • Knowledge of integrating with test management tools and cloud technologies like AWS/Azure is a plus.
  • Experience in performance testing tools like JMeter is beneficial.
  • Familiarity with big data tools like Hadoop and Hive, and AWS analytics.
  • Exposure to large data sets and understanding of data quality frameworks.
  • Knowledge in Python, web deployment, AWS services, and AI/ML is an added advantage.