Software Developer

Software Developer - Integration & Data Automation

Experience: 1 - 3 Years of experience in Java backend development, System Integration, Data Processing, or automation.

Responsibilities & Skills:

1. Develop, maintain, and troubleshoot Java- and Python-based applications, including backend services, API integrations, and automation solutions.

2. Develop integrations with REST/SOAP APIs, ERP systems, Salesforce, and third-party platforms.

3. Design and maintain ETL and data-synchronization pipelines between SQL

databases and external systems.

4. Develop JDBC-based batch processing for data extraction, transformation, validation, and loading.

5. Handle large-volume data processing using pagination, batching, transactions, and optimized queries.

6. Develop and maintain scheduled/automated jobs for unattended data synchronization and background processes.

7. Implement robust exception handling, logging, retry mechanisms, and error-handling processes.

8. Work with JSON/XML for API request/response processing and data transformation.

9. Debug Python applications by analyzing logs, exceptions, API responses, database connectivity, dependencies, and configuration issues.

10. Perform root-cause analysis and troubleshooting across Java, Python, APls, databases, and scheduled services.

11. Develop and optimize SQL Server queries, joins, CTEs, stored procedures, and data-validation processes.

12. Ensure data consistency, validation, reconciliation, and error recovery across integrated systems.

13. Use Git/GitHub for source-code management, branching, commits, merges, and deployment activities.

14. Collaborate with cross-functional teams to understand requirements and resolve UAT/production integration issues.

15. Prepare and maintain technical documentation for APIs, data flows, scheduled jobs, troubleshooting procedures, and system processes.

16. Apply prompt engineering and AI-assisted development for code generation, debugging, SQL optimization, API troubleshooting, documentation, and technical analysis.

17. Validate AI-generated solutions and use AI tools effectively while maintaining code quality, security, reliability, and development standards.

Must - Have Technical Skills:

Java | JDBC | REST/SOAP | JSON/XML | Python | SQL Server | ETL | Multithreading |

Git/GitHub | API Integration | Scheduled Jobs | Debugging & Troubleshooting |

Prompt Engineering / AI Tools