Azure Data Engineer (Microsoft Fabric)
Posted Updated
Description
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
Requirements
- 8+ years of experience in data engineering and enterprise data solutions development.
- Design, develop, and implement enterprise data solutions using Microsoft Fabric.
- Build, maintain, and optimize data ingestion, transformation, and processing pipelines.
- Develop solutions using OneLake, Fabric Lakehouse, Data Warehouse, and Data Factory capabilities.
- Implement scalable ETL and ELT pipelines to support enterprise data engineering and analytics requirements.
- Develop data transformations and business logic using Microsoft Fabric engineering capabilities.
- Design and implement data models and datasets for analytics and reporting requirements.
- Integrate data from cloud platforms, on-premises systems, APIs, databases, and other enterprise sources.
- Implement data quality checks, monitoring, security controls, and error-handling mechanisms.
- Support development, testing, deployment, troubleshooting, and production stabilization activities.
- Collaborate with Data Architects, business stakeholders, analytics teams, and other technical teams.
- Adhere to established data architecture, security, governance, and engineering standards.
- Strong hands-on experience with Microsoft Fabric development.
- Expertise in OneLake, Fabric Lakehouse, Data Warehouse, and Data Factory.
- Strong experience developing ETL/ELT pipelines and data integration solutions.
- Proficiency in SQL and database development.
- Hands-on experience with Python or PySpark for data transformation and engineering.
- Experience with Delta Lake and Medallion Architecture (Bronze, Silver, and Gold layers).
- Strong understanding of data ingestion, transformation, modelling, and orchestration.
- Knowledge of Azure Cloud and Azure data services.
- Experience implementing data security, governance, and data quality requirements.
- Strong debugging, troubleshooting, and performance optimization skills.
- Experience with Power BI and Semantic Models.
- Knowledge of Azure Data Factory and Azure Synapse Analytics.
- Exposure to Databricks.
- Knowledge of Microsoft Purview.
- Experience with CI/CD pipelines and Azure DevOps.
- Experience working on enterprise data modernization and migration projects.
Benefits
Fixed Term Employment Contract
Work-Life Balance
Flexible Work Mode
What GeekSoft Consulting Offers
- International, collaborative consulting culture with clear career development paths.
- Comprehensive Dutch benefits package emphasizing well-being, mobility, and career growth.