3 months ago
Singapore, SingaporeMid Level / Senior
Responsibilities
- Analyze data needs and document requirements.
- Refine data collection and consumption by migrating collection to more efficient channels.
- Plan, design, and implement data engineering jobs and reporting solutions.
- Develop test plans and scripts for system testing and support user acceptance testing.
- Work with technical teams to deploy and drive adoption of new solutions.
- Ensure smooth operation and service levels of IT solutions.
- Support production issues and implement highly available, high-performance, and high-security systems.
- Integrate data sets to provide seamless data access to users.
Requirements
- Minimum 4 years of experience managing data engineering jobs in a big-data environment, with overall experience of 4 to 10 years.
- Strong SQL, data modeling, and data analysis skills.
- Hands-on experience with Python, PySpark, Linux, and ETL tools such as Informatica.
- Good understanding of analytics and data warehouse implementations.
- Ability to troubleshoot issues ranging from system resources to application stack traces.
- Preferred experience implementing systems with Hive, Impala, and Cloudera Data Platform.
- Preferred experience with DevOps deployment and data virtualization tools such as Denodo.
- Experience with SAP BO and Tableau is beneficial but not required.
- Understanding of waterfall or Agile project methodologies and strong communication and stakeholder skills.
About AvePoint
AvePoint builds SaaS backup, migration, and governance software for enterprises running Microsoft 365, SharePoint, Google Workspace, and Salesforce. Its products help secure data, manage compliance, and automate administration, sold via subscriptions and channel partners. Founded in 2001 and headquartered in Jersey City, the company is publicly traded on the NASDAQ.