Datastage Developer

Datastage Developer

Toronto - Hybrid (4 days WFO)

Key Responsibilities:

• Develop and implement ETL solutions:
Design and build Data Stage jobs to extract, transform, and load data from various sources into target data warehouses or data marts.

• Data Warehousing and Data Integration:
Focus on data warehousing and data integration projects, ensuring data consistency and availability for business intelligence and analytics.

• Performance Tuning:
Optimize the performance of ETL processes to meet business requirements and ensure efficient data processing.

• SDLC and Agile Methodologies:
Participate in the software development lifecycle (SDLC) and potentially work within agile frameworks.

• Work with business analysts, data architects, and other developers to understand requirements and deliver high-quality solutions.

• Production Support:
May be involved in providing support for existing Data Stage jobs in production, including troubleshooting and resolving issues.

• IBM Info Sphere Data Stage:
Strong proficiency in using Data Stage for ETL development.

• SQL and Databases:
Solid understanding of SQL and experience with relational databases like Oracle.

• ETL Concepts:
Deep understanding of ETL concepts, data warehousing principles, and data integration best practices.

• Unix/Linux:

Experience with Unix/Linux operating systems, including scripting (e.g., Unix Shell Scripting).

• Data Modeling:
Familiarity with data modeling concepts and techniques.

• Agile and Dev Ops:
Experience working in agile environments and potentially with Dev Ops practices