Job Description :-
| Company: | Equifax |
| Job Role: | Software Engineer – Entry |
| Batches: | Recent Batch |
| Degree: | Bachelor’s degree or equivalent experience |
| Experience: | 6 months+ experience |
| Location: | Pune, India |
| CTC/Salary: | INR 4.5-7 LPA (Expected) |
What you’ll do
- Design requirements on small systems or modules of medium systems (large scale) environment and technical documentation.
- Apply basic principles of software engineering and can follow instructions. Provide meaningful feedback on the release process, code review, and design review.
- Easily absorbs and applies new information. Displays a cooperative attitude and shares knowledge.
- Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing corporate product platforms
- Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
- Participate in a tight-knit engineering team employing agile software development practices. Leverage automation within scope of effort
What experience you need
- Bachelor’s degree or equivalent experience
- 6 months+ experience with Java software programming experience
- 6 months+ experience with Cloud technology: GCP, AWS, or Azure
- Self-starter that identifies/responds to priority shifts with minimal supervision
- UI development (e.g. HTML, JavaScript, Angular and Bootstrap)
- Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices
- Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle.
- Agile environments (e.g. Scrum, XP)
- Relational databases (e.g. SQL Server, MySQL)
- Atlassian tooling (e.g. JIRA, Confluence, and Github)
- Developing with modern JDK (v1.7+)
- Automated Testing: JUnit, Selenium, LoadRunner, SoapUI
What could set you apart
An ability to demonstrate successful performance of our Success Profile skills, including:
- Self-starter that identifies/responds to priority shifts with minimal supervision.
- Relational databases (e.g. SQL Server, MySQL).
- Knowledge in graph mining and graph data model.
- Innate talent and passion for trying new technologies and quickly assessing value and implement ability within organizations.
- Experience on working with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, GCP-Preferred).
- Knowledge of classical machine learning, statistical modeling, and NLP.
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