Business Intelligence Specialist

6 months ago

Toronto, Canada AlphaForce Technology Solutions Full time

**Position: Business Intelligence Specialist - Senior**

**Location: 315 Front Street, Toronto, ON**

**Security Level: CRJMC**

**Must haves**:

- 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)

**Description**

**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 Databricks/Python/SQL (good SQL knowledge required) to develop and/or troubleshoot transformations of curated data into datamart model

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

**Design ingestion framework and CDC - preferred tools are Oracle Golden Gate and Azure Data Factory**
- Prepare design artifacts
- Work with IT partner on configuration of Golden Gate - responsible to provide direction and "how to".
- Maintain dynamic pipeline for ETL ingestion to add new tables and data elements

**Data design - physical model mapping from data source to reporting destination.**
- Understand the requirements. Recommend changes to the physical model.
- Assist with data modelling and updates of source-to-target mapping documentation
- Develop scripts for the physical model, and update database and/or data lake structure.
- Access Oracle DB and SQL Server environments, use SSIS, SQLDeveloper, Azure Data Studio, Azure Data Factory, Databricks and other tools for developing solution.
- Proactively communicate with business and IT experts on any changes required to conceptual, logical and physical models, communicate and review dependencies and risks.

**Development of ETL strategy and solution for different sets of data modules**
- Understand the Tables and Relationships.
- Create low level design documents and 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
- Develop ETL from source to Data Warehouse
- Develop ETL from Data Warehouse to Data Mart
- Perform unit testing
- Ensure performance monitoring and improvement

**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 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.

**Experience and Skill Set Requirements**

Please note this role is part of a Hybrid Work Arrangement and resource(s) will be required to work at a minimum of 3 days per week at the Office Location.

**Experience**:

- Experience of 7+ years of working with SQL Server, SSIS, and T-SQL development or similar
- 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 warehouses and dimensional data marts and working with delta and full loads
- Experience with any ETL tools such as SSIS, ADF, Databricks, other cloud tools
- Experience working with MS SQL Sever on premise and within Azure Environment
- Experience on Data modeling, and tools - e.g. SAP Power Designer, Visio
- 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 delta lake, dimensiona

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