Cloud Platforms: Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, power apps, and Functions.
Additionally, in-depth understanding and implementation of API management such as Apigee.
Big Data Technologies: Proficiency in Databricks, Spark, PySpark, Scala, and SQL.
Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing.
Programming Languages: Strong Python and SQL skills, with knowledge of other languages like Scala or R beneficial.
Data Warehousing and Business Intelligence: Strong ERD concepts, designs, and patterns, Understanding of OLAP/OLTP systems, performance tuning, Database Server concepts, and BI tools (Power BI, Tableau).
Data Governance: Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance.
Deep understanding and implementation knowledge of audit and monitoring in Cloud.