Similar Jobs
Fintech • Insurance • Financial Services
The Senior ETL Developer designs, develops, and maintains ETL solutions leveraging Informatica and SQL, integrating data across systems in a financial services environment.
Top Skills:
AzureIicsInformatica PowercenterPythonSalesforceSQL
Fintech • Financial Services
The ETL Developer will design, develop, and deploy advanced ETL solutions, focusing on automation, scalability, and collaboration to enhance business value.
Top Skills:
Apache AirflowDockerIbm DatastageKubernetesOpenshiftPysparkPythonSQLSsisTableauTalend
Consulting • Financial Services
The job involves creating and enhancing data pipelines, resolving ETL pipeline issues, and utilizing advanced SQL queries, particularly in Guidewire modules.
Top Skills:
ETLGuidewireSQL
Job Description
Title: Business Intelligence Specialist - ETL Developer (RQ08853)
Location: Toronto, ON (Hybrid)
Duration: 12 Months
Security Level: CRJMC
Ministry: Ministry of Children, Community and Social Services
General Responsibilities
- Develop and maintain on-premise ETL pipelines using SqlServer Integration Services, T-SQL, stored procedures
- Develop and maintain Oracle Materialized Views as Change Data Capture (CDC) mechanism for incremental updates
- Participate in requirements, design and implementation of Oracle GoldenGate solution as new CDC tool
- Design, develop and implement ingestion framework from Oracle source to Azure Data Lake - initial load and incremental ETL. Used tools are:
- Azure Data Factory (expert knowledge) to maintain pipeline from Oracle to Azure Data Lake
- Azure Databricks to build stored procedures and read data from data lake
- Review requirements, database tables, and database relationships - Identify gaps and inefficiencies in current production reporting environment and provide recommendations address them in the new platform.
- Prepare and maintain design artifacts, such as ETL requirements, source-to-target mapping (STM), ETL workflows, data model diagrams (ERD), data lineage diagrams, error handling and logging strategy, using specialized tools
- Work in an Agile environment, using Azure DevOps tools for code repository and defect tracking
- Data analysis and design - physical model mapping from data source to reporting destination.
- Understand the requirements. Recommend changes to the physical model.
- Develop the scripts of the physical model, and create DB.
- Access Oracle DB environments, use SSIS, SQL Server and other development tools for developing solution.
- Proactively communicate with business analysts on any changes required to conceptual, logical and physical models, communicate and review dependencies and risks.
- Development of ETL strategy and solution for different subject areas
- Understand the Tables and Relationships.
- Create low level design documents and unit test cases.
- Create the workflows of package design
- Development and testing of data with Incremental and Full Load.
- Develop high quality ETL mappings/scripts/jobs
- ETL data from Applications to Data Warehouse
- ETL data from Data Warehouse to Data Mart
- Perform unit tests.
- Performance and data consistency checks
- Troubleshoot performance issues, ETL Load issues, log activity for each Individual package and transformation.
- Review performance of ETL overall.
- End to end Integrated testing for Full Load and Incremental Load
- Plan for Go Live, Production Deployment.
- Create production deployment steps.
- Configure parameters, scripts for go live. Test and review the instructions.
- Create release documents and help build and deploy code across servers.
- Go Live Support and Review after Go Live.
- Review existing ETL process and tools, and provide recommendations on improving performance and to reduce ETL execution time.
- Review infrastructure and any pain points for overall process improvement
- Knowledge Transfer to Ministry staff, development of documentation on the work completed.
- Document share and work on the ETL end to end working knowledge, troubleshooting steps, configuration and scripts review.
- Transfer documents, scripts and review of documents.
Qualifications
Skills
Experience and Skill Set Requirements
- Experience of 7+ years of working with SQL Server, SSIS and T-SQL Development (Must Have)
- Experience working with building Databases, Data Warehouse and Data Mart and working with delta/incremental and full loads (Must Have)
- Data Warehouse concepts, Kimball and Inmon design methodologies (Must Have)
- Experience with Azure ETL tools such as Azure Data Factory and Azure Databricks (Must Have)
- Experience working with MSSQL Sever and Oracle database tools (Must Have)
- Experience configuring and using Oracle GoldenGate (Nice to have)
- Knowledge of Dimensional Data modeling, and tools – e.g. Power Designer,
- Experience with snowflake and star schema design.
- Experience in designing and implementing data warehouse solutions using slowly changing dimensions SCD Type 1, Type 2 and Type 3.
- Analyze, design, develop, test and document ETL programs from detailed and high-level specifications, and assist in troubleshooting.
- Utilize SQL to perform tasks other than data transformation (DDL, complex queries)
- Good knowledge of database performance optimization techniques
- Ability to assist in the requirements analysis and subsequent developments
- Ability to conduct unit tests and assist in test preparations to ensure data integrity
- Work closely with Data Analysts, Business Analysts, and Developers
- Liaise with Project Managers, Quality Assurance Analysts and Business Intelligence Consultants
- Design and implement technical enhancements of Data Warehouse as required.
Skills:
- 7+ years in ETL tools such as Microsoft SSIS, stored procedures (Must Have)
- 2+ Azure Data Lake and Data Warehouse, and building Azure Data Factory pipelines (Must Have)
- 2+ years Python/PySpark (nice to have)
- 2+ years Data Warehouse concepts and principles
- Knowledge of Dimensional modeling (nice to have)
- Databricks
- SQL Server
- Oracle
- Ability to present technical requirements to business users
Additional Information
All your information will be kept confidential according to EEO guidelines.
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.


