Software Quality Assurance Engineer II

4 weeks ago

Bengaluru, Karnataka, India Thermo Fisher Scientific Full time

Job Summary

We are seeking a highly skilled Software Quality Assurance Engineer II to join our team at Thermo Fisher Scientific. As a Data Test Engineer, you will play a vital role in ensuring the quality and reliability of our data systems.

Key Responsibilities

  • Support data analysts by providing clean and prepped data for accurate and efficient analysis.
  • Collaborate with various teams to communicate and handle intricate tasks.
  • Develop SQL views or queries for use by analysts or departments, promoting efficiency in data access and analysis.
  • Test all aspects of the product/system, including function/component, system, regression, and service, ensuring flawless performance.
  • Support reporting and analysis functions that enable data-driven decision-making, contributing to the achievement of business goals.
  • Provide summary analyses in written and oral presentation settings, presenting insights in a clear and compelling manner.
  • Develop system test cases and document results, ensuring the quality and reliability of data systems.
  • Research system issues and document findings, contributing to the continuous improvement of data processes.
  • Work independently or with guidance as per team needs, demonstrating flexibility and adaptability.
  • Actively participate in the evaluation and review of software requirements with Developers and Business System Analysts to define complete test plans and test scenarios.
  • Ensure that testing activities allow applications to meet business requirements and systems goals, identifying and resolving any issues.
  • Demonstrate expertise in Data warehouse testing, Integration, and system testing, contributing to the accuracy and reliability of data systems.
  • Create and compose clear and concise test summary reports and weekly status reports, offering valuable insights to the relevant parties.

Requirements

  • Equivalent experience in computer science engineering from an accredited university (desired not required)
  • Bachelor's degree with a major in computer science engineering (or equivalent experience) from an accredited university (preferred)
  • 4 to 8 years' experience in Database Management, generating medium to high complexity SQL queries for QA validation, debugging data issues, and ensuring data integrity.
  • Working knowledge of Oracle, MSSQL, Redshift Databases, AWS S3, and SQL IDEs such as SQL Developer/DB Visualizer/Toad.
  • 3 to 4 years' experience in extraction, transformation, and Loading techniques (ETL) for data in multiple formats from multiple sources.
  • Proficiency in Python programming language, enabling efficient data manipulation and analysis.
  • Familiarity with cloud infrastructure like AWS or Azure and respective cloud storage systems like AWS S3 /Azure Blob.
  • Experience in development models such as Agile or waterfall, ensuring successful project execution.
  • Strong analytical skills, attention to details, and ability to work both independently and collaboratively.
  • Requirement analysis and understanding of DWBI technical specification documents, contributing to accurate testing.
  • Ability to analyze and understand ETL workflows, ensuring the reliability and efficiency of data processes.
  • Strong SQL skills, enabling the validation of business rules and the identification of data issues.
  • Experience in backend validation of reports developed using tools like Tableau or POWER BI, ensuring accurate and reliable reporting.
  • Strong experience in data analytical testing and a good understanding of the data model, contributing to data-driven decision-making.
  • Ability to work in a fast-paced team environment with minimal supervision, demonstrating self-motivation and accountability.
  • Strong technical, problem-solving, project coordination, and analytical skills, ensuring successful project outcomes.
  • Defect tracking till closure, ensuring the resolution of any issues in a timely manner.
  • Ability to work on multiple releases and projects simultaneously and to work in different time zones if required.

Good to have Skills

  • Work experience in Databricks and PySpark is an added advantage, expanding capabilities for data integration and analysis.
  • Experience in Power BI dashboard testing, ensuring accurate and reliable reporting.
  • Experience in Tricentis Tosca DI

Non-technical Qualifications

  • Proficient in the testing methodology and has hands-on experience drafting requirements for regression and functional tests.
  • Superior communication abilities in writing, verbally, and over the phone; experience working with big groups of people

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