Our partner is a company with more than 30 years of experience in developing custom software applications. They have become a trusted IT partner in a variety of industries, such as telecommunications, finance, shipping, and logistics. Innovative project delivery models and a full stack of different technologies allow us to deliver ROI-driven software solutions for large enterprises, SMEs, and startups. The company provides its clients with a full software development cycle service, from audit, business needs analysis, solution architecture to programming and maintenance. Quality, speed, and functionality are how they help their customers grow their business.
Their team has several international certificates such as CEH (Certified Ethical Hacker), CBAP (Certified Business Analysis Professional), ISTQB (International Software Testing Qualifications Board), and they are a Microsoft Gold Certified Partner. ISO 9001 certification underpins the quality of our services, and ISO 27001 ensures information security.
Role
Our client is seeking an ELT expert to design, implement, and maintain robust ELT processes within the MS Azure Cloud Data Infrastructure for one of the projects in the financial services. You will ensure data accuracy and consistency while collaborating with our Cloud Engineer and internal teams to translate data requirements into scalable solutions that align with group-level KPI definitions.
Requirements: Strong experience with ELT processes in cloud environments, particularly Microsoft Azure.Expertise in designing, implementing, and maintaining Azure-based ELT solutions, especially using Azure Data Factory.Proven ability to extract and migrate data from legacy systems to cloud environments.Knowledge of cloud data structures, including Landing, Dimension, and Facts stages.Experience ensuring data accuracy, consistency, and implementing technical data checks.Ability to collaborate with internal teams to translate business and KPI requirements into scalable solutions.Nice To Have Requirements Familiarity with harmonizing data across multiple systems for group-level reporting (Catalyst/Gaia).Knowledge of best practices for cloud data integration and delivery in a multinational organization.
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