Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.
We are currently seeking competent individuals to fulfill the role of Business Intelligence Specialist - ETL Developer to join our dynamic team for our client.
Location Address: Hybrid
Contract Duration: 7 months
Extension Opportunity: Yes, depending on performance and need
Responsibilities:
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 FactoryPrepare design artifacts
Work with IT partner on configuration of Golden Gate - responsible to provide direction and "how to".
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 modulesUnderstand 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 checksTroubleshoot 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.
Candidate is required to come to office - 3 days a week
Note: Please upload reference information along with the application.
Must haves:
- 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 (Must Have)
Job Type: Full-time
Salary: $80.00-$90.00 per hour
Schedule:
Experience:
- ETL tools such as Microsoft SSIS, stored procedures: 7 years (required)
- Azure Data Lake, Data Warehouse, Azure Data Factory: 2 years (required)
- Python: 2 years (required)
Work Location: In person
