Business Intelligence 7221-2112

3 weeks ago

Toronto, Canada Foilcon Full time

**Description**:
**General Responsibilities**
- 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 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.
- Continue to evolve and design ingesting framework and CDC
- Prepare design artifacts
- 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 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.

**Skills**:
Experience and Skill Set Requirements

**Experience**:

- Experience of 7+ years of working with SQL Server, ADF 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)**:

- Experience with any ETL tools such as SQL Server, ADF, Cloud tools **(Must Have)**:

- Experience working with MSSQL Sever on premise and within Azure Environment **(Must Have)**:

- 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 (SQL Server, SSIS)
- 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.

**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** (nice to have)**:

- Databricks
- Synapse (nice to have)
- SQL Server
- Oracle
- Ability to present technical requirements to the business

**Evaluation Criteria**

**Design Documentation and Analysis Skills (45 points)**
- Demonstrated experience in creating both Functional Design Documents (FDD) & Detailed Design Documents (DDD).
- Experience in Fit-Gap analysis, system use case reviews, requirements reviews, coding exercises and reviews.
- Experience in the development and maintaining a plan to address contract deliverables, through the identification of signific

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