Ref: TJ 415904 - ETL DEVELOPER/DATA ENGINEER (Office Based) Employer Description IT consulting company design, build and implementation of the mapping, ETL programming from the source systems to the Data Warehouse Industry preferred) Minimum 3 years' experience with ETL tools and data integration; Ability to analyze data
organization to ensure data accuracy, develop complex ETL processes, create insightful data visualizations Responsibilities: Design, develop, and optimize ETL processes using SSIS. Develop and maintain data cubes Developer. Minimum of 6 years of experience in SSIS (ETL Development). Minimum of 6 years of experience in
enterprise BI reporting and Extract, Transform, Load (ETL) processes and environments. Required Qualifications: warehouse/data mart design and configuration Use ETL tools to load data store(s)/data warehouse(s)/data
Reference: NCM001754-NDK-1 The purpose of the ETL Developer is to develop extraction, translation and Warehousing experience. SQL/PLSQL knowledge essential. ETL Tool knowledge (DataStage 8.2 and above). Data Modelling storage solutions like AWS and Azure. Technical ETL expertise in creating star schema data models. Administration Responsibilities Design, development and implementation of ETL pipelines. Debug and correct programs to ensure business
Cloud).
- Knowledge of data integration and ETL tools.
- Familiarity with Agile and DevOps methodologies
analytics platform Develop BI Solutions using SQL, ETL scripting, Business Intelligence tools, database
Developer with expertise in C# and experience in data ETL/ELT, who will play a crucial part in designing, implementing Proven experience in designing and implementing data ETL/ELT pipelines using tools such as Azure Data Factory
Design, develop, and optimize data pipelines and ETL processes using SAS, Spark, and Databricks. Collaborate Solid understanding of data warehousing concepts, ETL processes, and data modelling. Experience with big
Data APIs services company.
Google Cloud). - Knowledge of data integration and ETL tools. - Familiarity with Agile and DevOps methodologies