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.