Responsabilites
- Is able to lead team of developers
- Is able to provide and execute technical designs of data platform components
- Is able to establish good standards, patterns and practices
- Is able to oversee and lead delivery of entire features or epics
- Is able to mentor more junior team members
- Can communicate effectively with external stakeholders
Requirements
- Has advanced or expert knowledge about Data engineering (processing huge amounts of data, ETL/ELT, Data lakes, data warehouses)
- Has advanced knowledge of Azure Data Platform (Azure Data Lake gen2/Storage account, Azure Data Factory, Azure SQL, Azure Data Bricks, Key Vault, CosmosDB, App Services, Azure Analysis Services, Docker/Kubernetes, Azure Stream Analytics)
- Is familiar with security, automation and cost management aspects of Azure
- Knows SQL on expert or advanced level
- Knows Python or C# or good or advanced level
- Experience with analytics and business intelligence concepts and technologies.
- Strong understanding of Data & Analytics services and technologies, including Microsoft Azure Analytics services.
- Azure Databricks
- ADL, ADF, PySpark,
- SQL-DW - Synapse,
- HIVE, Python, Azure Dev-Ops
- Strong presentation and written communication skills.
- Good creative thinking, problem solving, planning, time-management, project management and organization skills to balance and prioritize work Experience.