Datastage ETL Developer

Aarorn Technologies Inc. • Toronto, ON

3d • $45 - $50 • Hybrid

About The Position

We are hiring for a Datastage ETL Developer position with Aarorn Technologies. This role requires expert knowledge of IBM Info Sphere DataStage, strong SQL skills, and hands-on experience with enterprise scheduling tools like Stone branch. Proficiency in Unix and shell scripting, along with experience in source control tools such as GitHub and Urban Code Deploy, is essential. The position also demands a deep understanding of ETL architecture principles, Data Warehousing concepts, and the Software Development Life Cycle (SDLC). Collaboration using platforms like JIRA and Confluence, and strong analytical skills for data analysis and root-cause analysis of technical issues, are also key requirements.

Requirements

• Expert knowledge of IBM Info Sphere DataStage.
• Strong SQL skills for complex querying and data analysis.
• Hands-on experience with Stone branch or equivalent enterprise scheduling tools.
• Proficiency in Unix and shell scripting.
• Experience with source control tools, specifically GitHub and Urban Code Deploy.
• Deep understanding of ETL architecture principles.
• Strong foundation in Data Warehousing concepts and methodologies.
• Thorough knowledge of the Software Development Life Cycle (SDLC).
• Active experience with collaboration platforms, specifically JIRA and Confluence.
• Ability to analyze complex data sets and perform root-cause analysis for technical issues.

Responsibilities

• Develop and maintain ETL processes using IBM Info Sphere DataStage.
• Perform complex querying and data analysis using strong SQL skills.
• Utilize enterprise scheduling tools (e.g., Stone branch) for ETL job scheduling.
• Write and maintain Unix and shell scripts.
• Manage source code using version control tools, specifically GitHub and Urban Code Deploy.
• Apply knowledge of ETL architecture principles, Data Warehousing concepts, and SDLC.
• Collaborate with team members using JIRA and Confluence.
• Analyze complex data sets and perform root-cause analysis for technical issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed