Your Profile

We are looking for an experienced Data Analytics & Data Engineering Expert with extensive knowledge of Databricks, Azure cloud services, and modern data platform architectures to help design and develop our evolving Lakehouse architecture.

Must Have Skills

Degree in (Business) Informatics, Business Administration, or equivalent practical experience
At least 5 years of experience in data engineering architecture
Minimum 5 years of hands-on experience with Databricks & Delta Lake on Azure services
Proven expertise in migrating from traditional data warehouse solutions to modern data platforms like Lakehouse & Delta Lake
Strong experience in modern data platform and data warehousing architectures
Deep knowledge of data lake storage organization and architecture
Solid understanding of relational and multidimensional database systems
Proficiency in data warehouse modeling methods (Kimball, Inmon, Data Vault)
Experience with data pipelines using Spark Structured Streaming and Delta Lake
Strong programming skills in SQL, Python, and Spark

Nice to Have Skills

Familiarity with reporting, analytics, and dashboarding
Hands-on experience with Agile development methodologies (SCRUM, KANBAN, etc.)
Knowledge of BI solutions using: Azure Databricks, Azure Data Factory, Azure Storage, Azure Synapse, Azure Logic Apps, Power BI
Experience with Power Platform (Power Automate, Power Apps)
Microsoft Azure certifications:
- DP-900: Microsoft Azure Data Fundamentals
- DP-100: Designing and Implementing a Data Science Solution in Azure
- DP-203: Data Engineering on Microsoft Azure
- DP-300: Managing Relational Databases on Microsoft Azure
- AI-900: Microsoft Azure AI Fundamentals
- AZ-900: Microsoft Azure Fundamentals
- DP-420: Designing and Implementing Cloud-Native Applications with Microsoft Azure Cosmos DB