Currently we are looking for a Data Engineer that experience in Azure and ETL in Singapore.
- Level 1 – 2 Support of the strategic Data Access Layer (DAL) application based on Azure Cloud,
- Monitoring of data pipelines and Databricks jobs
- Incident and exception management via SOP driven resolutions, keep KEDB and other
- related documentation up to date
Troubleshooting:
- Example: Re-triggering of pipelines in case of missed time delivery
- Proactive notifications of customers and development team in case of any issues
- Request based activities, including serving as the first point of contact for customers
- User support to request & get correct privileges to access DAL
- Level 2 support for Incident and problem resolution, break fixes, etc.
- Issue reporting and root-cause analysis
- Any other Level 1 - 2 support activities as reasonably required
Key Skills
- Experienced development resources focused on Azure based data solutions
- Good programming skills: SQL, Python
- Very good English communication and written skills
- Experience with ETL tools (i.e. Azure Data Factory, Powercenter)
- Experience with ServiceNow and Jira
- Experience with dimensional data model concepts and structures
- Knowledge of SQL Databases
- Troubleshooting and problem-solving
Preferred Skills
- Knowledge of Azure Data Factory, Azure Databricks, Azure Synapse
- Experience with Monitoring tools, i.e. SolarWinds
- Experience with Dremio (Data Virtualization) and Alation (Data Catalogue)
