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Business Intelligence Specialist - 04150

Toronto, Ontario

General Responsibilities

  • Design, develop and implement ingestion framework from Oracle source to Azure Data Lake - initial load and incremental ETL. 

Used tools are:

  • Oracle Golden Gate (knowledge and experience are an asset but not required) for data ingestion and change data capture (currently in final stages of proof of concept)

  • Azure Data Factory (expert knowledge) to maintain pipeline from Oracle to Azure Data Lake

  • Azure Databricks/PySpark (good Python knowledge required) to build transformations of raw data into curated zone in the data lake

  • Azure Synapse to build stored procedures and read data from data lake

  • Review the requirements, database tables, and database relationships - Identify gaps and inefficiencies in current production reporting environment and provide recommendations address them in the new platform.

  • Design ingesting framework and CDC - preferred tool is Oracle Golden Gate

    • Prepare design artifacts

    • Work with IT partner on configuration of Golden Gate - responsible to provide direction and "how to".

  • Analysis of data - physical model mapping from data source to reporting destination.

    • Understand the requirements. Recommend changes to the Physical model.

    • Develop the scripts of physical model, and create DB.

    • Access Oracle DB environments, use SSIS, SQL Server and other development tools for developing solution.

    • Proactively communicate with business on any changes required to conceptual, logical and Physical models, communicate and review dependencies and risks.

  • Development of ETL strategy and solution based on different set of modules

    • 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 Review, 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, tools and provide recommendation on improving performance and reduce ETL timelines.

    • Review Infrastructure and any pain points for overall process improvement

  • Knowledge Transfer to 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.



  • Experience of 7+ years of working with SQL Server, SSIS, and T-SQL Development

  • Experience of 2+ years of working with Azure SQL Database, Azure Data Factory, Databricks and Python development

  • Experience building data ingestion and change data capture using Oracle Golden Gate

  • Experience working with building Databases, Data Warehouse and Data Mart and working with delta and full loads

  • Experience with any ETL tools such as SQL Server SSIS, ADF, Cloud toolsExperience working with MSSQL Sever on premise and within Azure Environment

  • Experience on Data modeling, and tools – e.g. SAP Power Designer,

  • Experience with snowflake and star schema model. Experience in designing data warehouse solutions using slowly changing dimensions.

  • Experience working with SQL Server SSIS and other ETL tools, solid knowledge and experience with SQL, other RDBMS (Oracle, PL/SQL)

  • Understanding data warehouse architecture with a data vault, dimensional data and fact model.

  • 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 Designers, Business Analysts and other Developers

  • Liaise with Project Managers, Quality Assurance Analysts and Business Intelligence Consultants

  • Design and implement technical enhancements of Data Warehouse as required.


  • 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 (Must Have)

  • Databricks

  • Synapse

  • Oracle Golden Gate

  • SQL Server

  • Oracle

  • Ability to present technical requirements to the business



  • Knowledge and experience building data ingestion, history, change data capture using Oracle Golden Gate is major asset but is not required.

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