Business Intelligence Specialist - Senior

LanceSoft Inc
Toronto
CAD 80,000 - 120,000
Job description

Position: Business Intelligence Developer

Location: Toronto, ON (Hybrid)

Duration: 248 Days Contract + Possible Extension


Experience:

  • 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 Server 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

Design Documentation and Analysis Skills (35 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 significant milestones and expected results with weekly status reporting.
  • Work with the Client & Developer(s) assigned to refine/confirm Business Requirements
  • Participate in defect fixing, testing support and development activities for ETL tool. Assist with defect fixing and testing support for Power BI reports.
  • Analyze and document solution complexity and interdependencies by function including providing support for data validation.

Development, Database and ETL experience (55 points):

  • Demonstrated experience in Microsoft specific software development and a number of years of practical experience (minimum 7+ years)
  • Proven experience in developing in Azure DevOps
  • Experience in application mapping to populate data store and dimensional data mart schemas
  • Demonstrated experience in Extract, Transform & Load and Extract, Load and Transforms software development and a number of years of practical experience (minimum 7+ years)
  • Experience in providing ongoing support on Azure pipeline/configuration and SSIS development
  • Experience building data ingesting and change data capture using Golden Gate (an asset but not mandatory)
  • Assist in the development of the pre-defined and adhoc reports and meet the coding and accessibility requirements.
  • Demonstrated experience with Oracle and Microsoft interfaces
  • Proficient in SQL and Azure DevOps
  • Implementing logical and physical data models

Must Have Requirements:

  • 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)
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