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 attitude

- Highly self motivated, self directed, and attentive to detail

- Ability 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