Middle Data Scientist

Key Responsibilities:

Experience: 35 years

Design develop and maintain data pipelines and ETL processes using Azure Data Platform (Data Factory Databricks Synapse etc.).

Build and manage scalable data pipelines using Databricks optimizing for performance and reliability.

Ensure data quality consistency and reliability across various data sources and systems.

Develop and maintain efficient data models to support business intelligence and analytical applications.

Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.

Develop deploy and maintain reports and dashboards using Power BI ensuring data visualization best practices.

Optimize and automate data workflows ensuring scalability and performance.

Stay updated with best practices in data engineering and analytics.

Troubleshoot and resolve issues related to data pipelines models and reporting.

english tt lm vi KH Hongkong

hin em cha c m d n nma domain l FMCG

Duration: 6M

Remote Work :

No