General Responsibilities

Design, develop and implement ingestion framework from Oracle source to Azure Data Lake - initial load and incremental ETL.. Preferred tool is Oracle Golden Gate for data ingestion and change data capture (currently in final stages of proof of concept).

• 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, 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.

Experience:

• Experience of 7+ years of working with SQL Server SSIS, ADF and T-SQL 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 ETL tools such as SQL Server SSIS, ADF,
• Experience with Azure cloud services such as Azure DataBricks, Azure Datalake and Azure Synapse.
• Experience 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 (SQL Server, SSIS), Golden Gate (nice to have)
• 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, and data warehousing, and
• Azure Databricks, Python, Azure Data Lake
• Azure Synapse, ADF pipelines
• SQL Server
• Oracle
• Ability to present technical requirements to the business
• Nice to have - Oracle Golden Gate

Assets:

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