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
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
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
and systems in general, especially in the area of ETL processes. Participate in the formulation of standards complex data acquisition or interface routines using ETL tool, ensuring that business and technical requirements
Google Cloud). - Knowledge of data integration and ETL tools. - Familiarity with Agile and DevOps methodologies
languages such as Python and Big Data pipelines such as ETL, SQL, Spark etc. Ability to develop APIs to trigger Solutions Architect (advantageous) Expertise in API and ETL development Git development branching strategies
with Data API's services company. Experience in ETL processes. Experience on the Ab Initio platform (advantageous)
system design Practical and project experience in ETL products, such as SSIS, and Informatica. Project
Datawarehouse in AWS (ETL versus ELT) High Level & Low-Level design for ETL Components in AWS Test
Write Python scripts for various tasks, such as ETL, making backups, or checking network device config