Description :
- Data Engineer (Azure)
- Data Processing on Azure : Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, Data Pipeline.
Responsibilities :
Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, ADW etc.In-depth understanding of database structure principles.Experience in DevOps, azure DevOps , Jenkins , airflow , azure monitor good to have.Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.Distributed Data Processing of big data batch or streaming pipelines (kafka or similar)Familiarity with data visualization tools (e.g. Power BI, Tableau etc.)Data Modelling , Data structure & strong analytics skills.Problem-solving attitudeHighly self motivated, self directed, and attentive to detailAbility to effectively prioritize and execute tasks.Additional Information :
We would like to see a blend of the following skills, not all of these are required, however Databricks and Spark are highly desirable :1. Azure SQL Data Warehouse
2. Azure Data Factory
3. Azure Data Lake
4. Azure Analysis Services
5. Databricks / Spark
6. Python
7. Data Modelling
(ref : hirist.tech)