Business Intelligence ETL 5781

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 and quot;how to and quot;.
  • 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:

• 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, dimensional 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 and Azure Databricks pipelines (Must Have)
• 2+ years Python (Must Have)
• Oracle Golden Gate
• SQL Server
• Oracle
• Ability to present technical requirements to the business

Assets:

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

Evaluation Criteria

Design Documentation and Analysis Skills (30 points)

• Demonstrated experience in creating both Functional Design Documents (FDD) and amp; 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 and amp; 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 (60 points)

• Demonstrated experience in Microsoft specific software development and a number of years of practical experience (minimum 7+ years)
• Experience in developing in an agile Azure DevOps environment
• Experience in application mapping to populate data vault and dimensional data mart schemas
• Demonstrated experience in Extract, Transform and amp; 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 ingestion and change data capture using Golden Gate
• Assist in the development of the pre-defined and ad-hoc reports and meet the coding and accessibility requirements.
• Demonstrated experience with Oracle and Microsoft interfaces
• Proficient in SQL and Python
• Implementing logical and physical data models

Knowledge Transfer (10 points)

• The Developer must have previous work experience in conducting Knowledge Transfer and training sessions, ensuring the resources will receive the required knowledge to support the system. The resource must develop learning activities using review-watch-do methodology and amp; demonstrate the ability to prepare and present.
• Development of documentation and materials as part of a review and knowledge transfer to other members
• Development and facilitation of classroom based, or virtual instructor demo led sessions for Developers
• Monitor identified milestones and submission of status reports to ensure Knowledge Transfer is fully completed