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Azure Data Engineer
4 weeks ago
- Career Growth
- Attractive compensation and benefits
Our client is seeking for a candidate with hands-on experience as a Data Engineer, including 1 year with Microsoft tools like Azure Data Factory, Synapse Analytics, Azure Analysis Services, Azure Databricks, and Python.
Job Description- Work with new data sources from around the world to provide data built on Azure Cloud
- Implement automated Data Quality measures to sieve out bad quality data
- Design, construct, and maintain Datawarehouse models to support global, regional, and local business unit's data analytics needs.
- Create and maintain data pipelines to transform and load data from data lake into Datawarehouse models
- Create and maintain data science sandbox, machine learning tools, Databricks, data marts, data catalog, data lineage
- Degree preferably in Data Analytics or Computer Science domain
- Min two years of hands-on experience as a Data Engineer including at least one year using Microsoft data tools
- Knowledge of data warehouse concept (Star, snowflake or data vault) methodology and experience in designing data warehouse dimensional modeling
- Must have hands-on experience in Azure Data Factory, Azure Synapse Analytics / Datawarehouse, Azure Analysis Services, Azure Databricks, and Python
- Competitive Salary: Attractive compensation package
- Growth Opportunities: Professional development and career advancement in a fast-paced environment.
- Collaborative Culture: Join a diverse team that values creativity and teamwork.
Contact
Agnes Goh (Lic No: R21100696 / EA no:18S9099)
Quote job ref
JN-012025-6643985
Phone number
+65 6416 9868
Michael Page International Pte Ltd | Registration No. 199804751N
Tell employers what skills you haveMachine Learning
Factory
Azure
Pipelines
Hadoop
Data Quality
Data Design
SQL
Networking
Python
Dimensional Modeling
Data Science
Business Process
Data Analytics
Linux
Analysis Services