Quality Engineer

Job Summary

Define the test coverage and scope based on acceptance criteria to undertake robust testing (Automation & Exploratory). The QE is part of a multi skilled feature team, collaborating to ensure quality & customer requirements are met when developing products.

Job Description

• Position: Quality Engineer
• Location: Hyderabad
• Years of experience: 04- 07 years
• Data Quality Engineer D
• For the Customers:
• Support the Group s and Protection growth ambitions through brilliant decisions and delivery of industry-leading Insurance and Protection services
• For our People:
• To build the collective capability of our platform community and improve collaboration and cross team learning in order to deliver on our Transformation technology vision by making it a great place to work where our colleagues feel valued, included and empowered to be the best versions of themselves.
• About the Role:
• A Data Testing Engineer validates data accuracy, integrity, and quality across complex pipelines, ensuring ETL processes and data warehouses function correctly.
• Quality Planning and Strategy: Developing plans and strategies to ensure quality at every stage of production.
• Code Reviews: Analysing code to suggest improvements and ensure it meets quality standards.
• Functional Testing: Conducting manual and automated tests to identify and fix bugs.
• Performance and Security Testing: Ensuring the product performs well under various conditions and is secure from vulnerabilities.
• Continuous Integration: Managing automated tests in CI/CD environments to maintain consistent quality.
• Collaboration: Working closely with developers, operations, and business teams to align quality goals with business objectives

Key Responsibilities

• Data Validation & Testing: Design and execute functional, integration, and regression tests for ETL processes, data warehouses, and data ingestion pipelines.
• SQL & Automation: Write complex SQL queries to compare source and target data; develop automated test scripts using Python, Java, or specialized tools.
• Quality Assurance: Ensure data integrity, accuracy, and completeness, including checking for data anomalies and verifying transformation logic.
• Documentation & Reporting: Create test plans, test cases, and documentation for defects, tracking them to resolution in tools like JIRA.
• Collaboration: Work with developers, data engineers, and stakeholders to understand requirements and troubleshoot data issues
• Continuous Improvement: Continuously improving testing processes and methodologies to enhance software quality.

Working Arrangements

Hybrid Working

Required Skills

• Technical Proficiency: Strong SQL skills are essential, along with experience in Python, Java, or JavaScript.
• Data Warehousing/Big Data: Knowledge of dimensional modeling (star/snowflake schemas) and tools like Spark, Hive, Hadoop, or Azure.
• Testing Experience: Experience with test automation frameworks (Selenium, PyTest) and manual testing techniques.
• Background: Bachelor s degree in Computer Science, IT, or related field.
• Experience Level: Typically 2-5+ years in QA or ETL testing.
• Experience GCP or any cloud technologies.

Common Tools

• Databases: SQL Server, Oracle, Snowflake, Big Query
• ETL/Big Data: GCP, AWS,Spark, Scala, Java
• Automation/Defect Tracking: JIRA, Selenium, Git, Jenkins

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.