Datastage Developer
- Toronto, ON, Canada
$55 to $60 CAD / hour · Contract
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Job details
- Pay
- $55 to $60 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Role: Datastage Developer
Location: Toronto, ON
Work Mode: Hybrid (4 Days WFO)
Hiring Mode: 6-12 months Contract with extension possible
Pay: CAD 55-60/Hr.
Description:
- Experienced Python DataStage Developer responsible for designing| developing| and maintaining ETL/data integration solutions for banking applications.
- The role involves building scalable data pipelines| automating data processing| supporting regulatory and financial reporting| and ensuring data quality across enterprise systems.
- Experience with IBM DataStage| Python| SQL| and banking data is essential.
- Enterprise profiles also emphasize ETL development| data transformation| SQL optimization| and banking domain expertise.
Responsibilities:
- Design| develop| and support ETL workflows using IBM DataStage.
- Develop Python scripts for data ingestion| transformation| validation| and automation.
- Create and optimize SQL queries| stored procedures| and database objects.
- Integrate data from multiple banking systems| including core banking| payments| loans| and regulatory reporting platforms.
- Perform data quality checks| reconciliation| and troubleshooting of production issues.
- Collaborate with business analysts| architects| and compliance teams to deliver data solutions.
- Support batch processing| incident management| and change management activities.Ensure adherence to banking security| governance| and regulatory standards.
Required Skills:
- Strong experience with IBM DataStage ETL development.
- Proficiency in Python| SQL| and Unix/Linux scripting.
- Knowledge of Data Warehousing| ETL concepts| and Data Modeling.
- Experience with Oracle| DB2| Snowflake| or similar databases.
- Understanding of SDLC| Agile methodologies| and version control tools (Git).
More about this job
Responsibilities
Design, develop, and support IBM DataStage ETL workflows and Python-based data pipelines for banking systems, including data ingestion, transformation, validation, and reporting. Optimize SQL and database objects, ensure data quality and regulatory compliance, and support production operations in collaboration with business, architecture, and compliance teams.
Requirements
Requires strong IBM DataStage ETL development experience, proficiency in Python, SQL, and Unix/Linux scripting, and knowledge of data warehousing and data modeling. Candidates should have experience with Oracle, DB2, Snowflake, or similar databases, plus familiarity with banking data, SDLC, Agile, and Git.
Skills
- IBM DataStage
- Python
- SQL
- Unix/Linux Scripting
- ETL Development
- Data Integration
- Data Warehousing
- Data Modeling
- Oracle
- DB2
- Snowflake
- Banking Data
- Data Quality
- Git
- Agile Methodologies
- SDLC
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- IBM DataStage
- Python
- SQL
- Unix/Linux
- ETL
- Data Integration
- Data Pipelines
- Data Ingestion
- Data Transformation
- Data Validation
- Data Warehousing
- Data Modeling
- Oracle
- DB2
- Snowflake
- Banking
- Core Banking
- Payments
- Loans
- Regulatory Reporting
- Financial Reporting
- Data Quality
- Reconciliation
- SQL Optimization
- Stored Procedures
- Batch Processing
- Incident Management
- Change Management
- SDLC
- Agile