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Pune, India, India
2026-10-15
Equifax
English
South Asia
Technology Engineering Trainee - Entry
Role Description
**What You’ll Do**
* You will design, develop, test, deploy, maintain and improve software
* You will translate functional and technical requirements into detailed architecture and design
* You will need extensive understanding of BDD/TDD practices, code review and analysis techniques, and open source agile testing frameworks.
* You will be part of a technical community and participate in code and design reviews to maintain our high development standards
* You will demonstrate a real passion for innovation! Any experience with Cloud Platforms like AWS, GCP and Deploying and automating infrastructure/applications using Chef, RPM, Docker, AWS (ECS, ECR), Terraform, etc. will help us on our exciting journey
* You will utilize your experience in overall system architecture, scalability, reliability, and performance
**What Experience You Need**
* Currently pursuing a Bachelor's degree in Computer Science or other Technology-related field (Graduation date June 2024)
* Experience or coursework in Java or Python or similar programming languages.
* Experience developing accessible technologies
* You can write very high quality code that is robust and easy to maintain
* Experience in debugging, diagnosing, and trouble-shooting complex, production software
* Detailed knowledge of modern software development life cycles including CI / CD
* You have the ability to operate across a broad and complex business unit with multiple stakeholders
**What Could Set You Apart**
* UI development (e.g. HTML, JavaScript, AngularJS, Angular 12+ and Bootstrap)
* Design patterns
* Agile environments (e.g. Scrum, XP)
* Software development best practices such as TDD (e.g. JUnit), automated testing (e.g. Gauge, Cucumber, FitNesse), continuous integration (e.g. Jenkins, GoCD)
* Relational databases (e.g. SQL Server, MySQL)
* Cloud computing, SaaS (Software as a Service)
* Atlassian tooling (e.g. JIRA, Confluence, and Bitbucket)
* Experience with Big Data technologies such as Spark, Kafka and/or Hadoop or
* NoSQL such as Cassandra