Senior ETL Developer

Full Time


General ResponsibilitiesDesign, develop and implement ingestion framework from Oracle source to Azure Data Lake – initial load and incremental ETL. Used tools are:Azure Data Factory (expert knowledge) to maintain pipeline from Oracle to Azure Data LakeAzure Synapse to build stored procedures and read data from data lakeReview 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.Continue to evolve and design ingesting framework and CDCPrepare design artifactsAnalysis 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, use 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 modulesUnderstand the Tables and Relationships.Create low level design documents and unit test cases.Create the workflows of package designDevelopment and testing of data with Incremental and Full Load. Develop high quality ETL mappings/scripts/jobsETL data from Applications to Data WarehouseETL data from Data Warehouse to Data MartPerform unit tests.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 LoadPlan 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 improvementKnowledge 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, ADF 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)Experience with any ETL tools such as SQL Server, ADF, Cloud tools (Must Have)Experience working with MSSQL Sever on premise and within Azure Environment (Must Have)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)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 techniquesAbility to assist in the requirements analysis and subsequent developmentsAbility to conduct unit tests and assist in test preparations to ensure data integrityWork closely with Designers, Business Analysts and other DevelopersLiaise with Project Managers, Quality Assurance Analysts and Business Intelligence ConsultantsDesign 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 (nice to have)DatabricksSynapse (nice to have)SQL ServerOracleAbility to present technical requirements to the businessEvaluation CriteriaDesign Documentation and Analysis Skills (45%)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 RequirementsParticipate 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 (45%)Demonstrated experience in Microsoft specific software development and a number of years of practical experience (minimum 7 years)Proven experience in developing in Azure DevOpsExperience in application mapping to populate data vault and dimensional data mart schemasDemonstrated 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 developmentExperience 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 interfacesProficient in SQL and Azure DevOpsImplementing logical and physical data modelsKnowledge Transfer (10%)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 & demonstrate the ability to prepare and present.Development of documentation and materials as part of a review and knowledge transfer to other membersDevelopment and facilitation of classroom based, or virtual instructor demo led sessions for DevelopersMonitor identified milestones and submission of status reports to ensure Knowledge Transfer is fully completed


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