Datastage Developer
Toronto - Hybrid (4 days WFO)
Key Responsibilities:
Develop and implement ETL solutions: Design and build DataStage 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 DataStage jobs in production including troubleshooting and resolving issues.
IBM InfoSphere DataStage: Strong proficiency in using DataStage 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 DevOps: Experience working in agile environments and potentially with DevOps practices