Skills
Azure Data Factory
Azure Databricks
Azure Data Lake Storage Gen2
Azure SQL
PostgreSQL
Azure Analytics Services
Azure Identity (SPN, SAMI, UAMI)
Data Engineering
Data Analytics
Data Warehouse Design
Data Integration
Data Lake Architecture
Data Mesh
Service-Oriented Architecture
Azure
Summary
An experienced data engineer is sought to design, develop, and configure scalable cloud-based data solutions. The role focuses on building analytics and data warehouse platforms, implementing data integration patterns, and working with modern cloud data services. Candidates should have strong experience with enterprise data architectures, automation, and large-scale data processing.
Highlights
Opportunity to work on large-scale cloud data engineering solutions with modern Azure technologies. The role offers involvement in scalable architecture, automation, data analytics, and enterprise-level data platforms.
Description
Role summary
We are looking for an experienced Azure Databricks Data Engineer.
The role focuses on designing, configuring, and developing HR solutions across the employee lifecycle, with strong emphasis on quality, automation, and scalable design.
Required skills and experience
8-10 years of hands-on experience in data engineering space, with ability to translate working solution into implementable working package and/or built new solution using Azure platformhigh proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Factory (ADF) and Azure Databricks, services related to Azure Analytics, Azure data lake storage Gen2, Azure SQL/Postgres, Azure analytics services and good understanding of Azure identity (SPN, SAMI, UAMI etc.)experience in designing large data distribution, integration with service-oriented architecture, data mesh, data Lake and data analytics solution using Azure data services with large and multi-format dataproficient coding experience using Spark (Python/Scala) and SQLhands on experience with one of scripting language: Linux / PowerShell.prior ETL development experience using industry tool e.g.
informatica/SSIS/Talend etc., good to have knowledge in Kafka streaming Azure Infrastructurea proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven developmentExposure to Docker, Githands on experience with pipeline orchestration tools like Apache Airflow, Autosys, Control-M – Preferred Apache Ariflowproficient at working with large and complex code bases using GitLab/Github, Fork/Pull Model and CI/CDknowledge of DevOps tools and technologies (like GitLab CI/CD pipeline creation, YAML, Terraform, ARM, Puppet), Azure function app, logic app is a plusworking experience in Agile methodologies (SCRUM, XP, Kanban).
Work within an agile SDLC environment to deliver high-quality data solutionsyou should hold a relevant bachelor’s degree or equivalent.
Excellent communication skills, with fluency in English for both presentations and technical writing
Contact:
brahmi.g@i-q.co
+31 475 7883 89
