Azure ETL Engineer: DataStage, Oracle & DevOps

V2 Solutions; Hinoba-an; On-site; PHP 600,000 - 900,000; Full time

Job summary

V2 Solutions in the Philippines seeks an experienced ETL Developer to design, implement, and optimize data pipelines using IBM DataStage 11.7. You will work with Oracle 19c, build batch workflows in Control-M, and support CI/CD with Jenkins and Git.

Azure data integration and data quality are key focus areas. Responsibilities include troubleshooting ETL jobs, optimizing performance, and collaborating with stakeholders to deliver reliable data solutions across platforms.

Qualifications

• Hands-on experience with IBM DataStage 11.7.
• Strong Oracle Database (19c) expertise and query optimization.
• Solid ETL, data warehousing, and data modeling fundamentals.
• Experience with Control-M, Jenkins, Git, and Linux/Shell scripting.
• Exposure to Azure cloud environments.
• Demonstrated debugging and problem-solving skills.

Responsibilities

• Design, develop, and maintain ETL processes using IBM DataStage 11.7.
• Extract, transform, and load data from multiple sources to target systems.
• Optimize Oracle 19c queries and performance.
• Develop batch workflows and scheduling with Control-M.
• Implement CI/CD pipelines using Jenkins, Git, and Shell scripting.
• Support data integration on Azure cloud platforms.
• Ensure data quality, consistency, and integrity across systems.
• Troubleshoot ETL job failures and bottlenecks.
• Collaborate with stakeholders to translate requirements into solutions.

Skills

ETL concepts

Data warehousing

Data modeling

Problem-solving

Analytical thinking

Communication

Team collaboration

Tools

IBM DataStage 11.7

Oracle Database 19c

Control-M

Jenkins

Git

Linux/Shell scripting

Azure cloud

Job description

V2 Solutions in the Philippines seeks an experienced ETL Developer to design, implement, and optimize data pipelines using IBM DataStage 11.7. You will work with Oracle 19c, build batch workflows in Control-M, and support CI/CD with Jenkins and Git.

Azure data integration and data quality are key focus areas. Responsibilities include troubleshooting ETL jobs, optimizing performance, and collaborating with stakeholders to deliver reliable data solutions across platforms.