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.