Job Responsibilities
- Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Python.
- Build and manage data pipelines and work on Databricks for analytics and transformation tasks.
- Develop, optimize, and maintain solutions using Oracle databases with strong SQL and PL/SQL.
- Deploy and manage applications on AWS cloud, ensuring high availability and performance.
- Contribute to API Gateway setup and integration of microservices.
- Collaborate with business analysts, QA, and stakeholders to deliver high-quality solutions.
- Participate in system integration, testing, and performance optimization.
Mandatory Skills:
- 4 to 8 years of professional and relevant experience in software industry.
- Strong hands-on expertise in Java and Spring Boot for enterprise-grade applications.
- Proficiency in Python for backend development, scripting, and automation.
- Experience with Oracle databases (SQL, PL/SQL, query optimization).
- Practical knowledge of AWS cloud services.
- Strong experience in Python for scripting, automation, and data-driven applications.
- Knowledge on Databricks.
Preferred Skills:
- Experience in data pipeline design and implementation.
- Knowledge of API Gateway setup and security practices.
- Exposure to capital markets domain and related business processes.
- Familiarity with CI/CD tools and cloud-native deployment practices.
- Experience in data migration projects and legacy system modernization.
- Familiarity with ETL scripting and data pipeline automation.
- Exposure to backend modernization strategies and microservices architecture.
- Knowledge of big data ecosystems and distributed computing.
Job Responsibilities
- Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Python.
- Build and manage data pipelines and work on Databricks for analytics and transformation tasks.
- Develop, optimize, and maintain solutions using Oracle databases with strong SQL and PL/SQL.
- Deploy and manage applications on AWS cloud, ensuring high availability and performance.
- Contribute to API Gateway setup and integration of microservices.
- Collaborate with business analysts, QA, and stakeholders to deliver high-quality solutions.
- Participate in system integration, testing, and performance optimization.
Mandatory Skills:
- 4 to 8 years of professional and relevant experience in software industry.
- Strong hands-on expertise in Java and Spring Boot for enterprise-grade applications.
- Proficiency in Python for backend development, scripting, and automation.
- Experience with Oracle databases (SQL, PL/SQL, query optimization).
- Practical knowledge of AWS cloud services.
- Strong experience in Python for scripting, automation, and data-driven applications.
- Knowledge on Databricks.
Preferred Skills:
- Experience in data pipeline design and implementation.
- Knowledge of API Gateway setup and security practices.
- Exposure to capital markets domain and related business processes.
- Familiarity with CI/CD tools and cloud-native deployment practices.
- Experience in data migration projects and legacy system modernization.
- Familiarity with ETL scripting and data pipeline automation.
- Exposure to backend modernization strategies and microservices architecture.
- Knowledge of big data ecosystems and distributed computing.
Self-Assessment Questions
Do you have between 4 and 8 years of relevant professional experience in the software industry
Have you designed and developed enterprise applications using Java and Spring Boot
Are you proficient in Python for backend development, scripting, and automation tasks
Have you worked with Oracle databases, including SQL and PL/SQL, for building and optimizing data solutions
Do you have practical experience deploying and managing applications on AWS cloud services
Have you built or managed data pipelines and performed analytics or transformation tasks using Databricks
Career Level - IC2
