What Youll Do:

- Design, develop, and optimize commission processing applications using Oracle RDBMS.
- Build and maintain large scale data acquisition and ingestion pipelines from multiple enterprise sources.
- Develop high performance data transformation and processing workflows using Oracle and AWS services.
- Engineer and manage Oracle RDS environments on AWS, ensuring scalability, reliability, and performance.
- Leverage AWS services (S3, Lambda, Step Functions, etc.) to enable distributed data processing.
- Utilize Azure Data Factory (ADF) or similar tools for orchestrating data movement and integration of workflows.
- Optimize complex SQL queries, PL/SQL procedures, and batch processing jobs for large datasets.
- Implement data validation, reconciliation, and audit mechanisms to ensure accuracy of commission calculations.
- Collaborate with business stakeholders to translate commission rules and policies into scalable technical solutions.
- Support endtoend data lifecycle: ingestion, transformation, storage, and consumption.
- Ensure production stability through monitoring, troubleshooting, and performance tuning.

What Youll Bring:

- Bachelor's degree in computer science, Technology, or related field, plus relevant years of experience in a related technical discipline.
- Hands on experience with large scale data processing and batch systems.
- Experience designing and optimizing data pipelines and ETL/ELT processes.
- Strong performance tuning skills (query optimization,



indexing, and partitioning).
- Experience working with high volume transactional or financial systems (e.g., commissions, billing, or revenue systems).

Must Have Skills:

- 7 + years of experience with Oracle RDBMS, including strong SQL and PL/SQL development.
- Hands on experience with large scale data processing and batch systems.
- Solid expertise in AWS, including RDS (Oracle), S3, and compute services.
- Experience designing and optimizing data pipelines and ETL/ELT processes.
- Familiarity with Azure Data Factory (ADF) or similar orchestration tools.
- Strong performance tuning skills (query optimization, indexing, and partitioning).

AI & agent tooling:

- Proficient in AI coding/automation assistants (Claude, Copilot, or equivalent).
- Able to design, build, and deploy AI agents as first-class platform components - agent-driven CI/CD workflows, automated runbook execution, vulnerability triage automation, and developer self-service tooling powered by AI.

Nice-to-Have:

- Experience with commission systems or incentive compensation platforms.
- Knowledge of event driven or distributed data architectures.
- Scripting experience (Python, Shell) for automation.
- Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation).
- Exposure to data lakes, data warehousing, or analytics platforms.
- Experience with monitoring tools (CloudWatch, Datadog, etc.).

📌 Sr Engineer, Software (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad