Apple & Barclays Recruitment 2026 – Software Testing and Data Analytics Roles
Apple & Barclays Recruitment 2026– Software Testing and Data Analytics Roles
Apple and Barclays have announced exciting career opportunities for professionals and fresh graduates in the domains of software testing, quality engineering, and data analytics. These roles offer a chance to work with global organizations, cutting-edge technologies, and high-impact projects that shape products and business decisions worldwide.
Apple – Junior Software Developer in Test (IS&T)
| Company Name | Apple |
| Role | Junior Software Developer in Test (IS&T) |
| Qualification | Bachelor’s Degree in Computer Science / IT or related field |
| Eligible Batch | 2023 / 2024 / 2025 / 2026 |
| Salary | ₹10 – 14 LPA (Average Market Salary) |
Job Description
- Build and execute QE test plans, strategies, and test cases for applications and features.
- Collaborate with development and project teams to deliver high-quality software.
- Perform functional, system, integration, and exploratory testing.
- Work in an Agile environment to deliver results in a fast-paced setup.
Roles and Responsibilities
- Execute automation, performance, and code quality testing.
- Use tools such as Selenium, Playwright, Appium, Postman, JMeter, Jenkins, and SonarQube.
- Develop and maintain test strategies for web, mobile, API, and database workflows.
- Provide accurate testing status and reports to project managers.
- Leverage GenAI tools for coding and quality engineering tasks.
Skills Required
- Experience with Java, JavaScript, and TypeScript.
- Hands-on exposure to automation and CI/CD integrations.
- Strong analytical, communication, and problem-solving skills.
- Understanding of QE frameworks, tools, and metrics.
Barclays – Data Analyst
| Company Name | Barclays |
| Role | Data Analyst |
| Qualification | Bachelor’s Degree |
| Eligible Batch | 2023 / 2024 / 2025 / 2026 |
| Salary | ₹12 – 18 LPA (Average Market Salary) |
Job Description
- Support the evolution of enterprise data and analytics platforms.
- Implement data quality processes to ensure reliable and trustworthy data.
- Extract actionable insights to improve business operations.
Roles and Responsibilities
- Analyze data quality, lineage, and governance-related issues.
- Perform data cleansing and transformation for analytics use.
- Design and maintain automated data pipelines.
- Apply advanced analytics, machine learning, and AI techniques.
- Document findings and provide recommendations for improvement.
Skills Required
- Strong SQL scripting and data profiling skills.
- Knowledge of data warehousing concepts and data modeling.
- Experience with Teradata, Oracle, Big Data, or Cloud platforms.
- Familiarity with AWS, Python, PySpark, Snowflake, and Databricks.
- Understanding of Agile methodologies and JIRA.
