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Tóm tắt công việc

• Analyzing raw data and building reports to provide actionable insights into the operational efficiency of SAS system.
• Transform raw data into a format that can be easily analyzed on business requirements.
• Manage & maintain SAS Data Mart, SAS 360 Infomap.
• Implement reporting for real-time monitoring.
• Work with higher levels to assist with data-related technical issues and support data infrastructure needs.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hadoop ‘big data’ technologies.

Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. ​

Compensation programs and employees' development opportunities for employees are always significantly invested in, bringing you:​

Primary benefits:

• 13th-month Salary and performance- based KPI Bonus ​
• 15+ Annual Leaves​
• Full Social Insurance, 24/7 Accidental Insurance, Annual Medical Check- up​
• Team Building and CSR activities: Year- end Party, New-year Party, Company trip, Charity activities, Blood donation​
• Learning workshops: Udemy E-learning, English courses, Senior management development training programs​

Our culture fosters your career development through: ​

1. Strategy ​

• Thinking Big: We focus on creating meaningful and sustainable opportunities for the company. ​
• Customer Obsession: We try to understand future customer needs, trends, and the impact of digital transformation. ​

2. Implementation ​

• Digital Savviness: We seek to understand the technological aspects of the business to enhance efficiency and customer experience. ​
• Entrepreneurship: We communicate the company's strategy and purpose to others, inspire and lead them effectively. ​
• Risk in mind: We consider risks and their possible effects before making decisions. ​
• Operational Excellence:  We stay focused on the goal, disciplined in tightening tasks to the end. ​

3. Building the organization ​

• People Centricity: We sustain focus on the development of team members through meaningful development plans and learning opportunities. ​
• Integrity: We always stay focused on the goal you need to achieve, refrain from getting into personal conflicts.

• Preferably University Degree in Computer Science, Statistics, Information Systems or another quantitative field or relevant major
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience in Data Engineer role
• Experience in at least 1 programming language (ideally Python or Java) 
• Has analytic skills related to working with datasets.
• Preferably experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Can communicate fairly well in English 
• Solid critical thinking & problem solving skill