Analyze and assess current systems within the company which generate data sources.
Support in design, and implement a centralized data warehouse to serve the company's analytical needs.
Model, design and implement data pipelines and data integration from multiple sources into the data warehouse.
Build and maintain dimensional data models and ETL processes.
Ensure a high level of data quality by identifying data quality-related issues and proposing methods to optimize data output and transformation.
Work closely with
Data Analysts in building a BI report system for different stakeholders
Bachelor's degree or higher in MIS (Management Information System),
software engineering, business, finance, statistics, mathematics or related field preferred.
+2 years of experience in Data Engineer.
In-depth understanding of organizational data flows and its use in management decision-making.
Having good knowledge in developing Data Lake/Data Warehouse systems. Experience with AWS is a plus.
Having good knowledge about RDBMS, BigData, Data Warehouse, Data lake, Data model, OLTP, OLAP.
Proficient in data processing languages: SQL, Python.
Proficient in using one of the ETL Tools: Sqoop, Airflow, SSIS.
Knowledge of BI tools such as PowerBI, Google Data Studio, Tableau, AWS QuickSight, Metabase
Experience with user behavior log data (Google Analytics and Firebase) is a plus.
Experience in edtech companies or finance projects is a plus.
Strong problem solving skill, strong adaptability and capacity to work in a fast-paced environment.
Professional training courses to improve management skills such as leadership, risk management, negotiation, design thinking, service mindset;
13th-month salary, fixed bonuses, and incentives under business policies;
Having incentive policy for employees learning courses at SAPP;
Using modern software to decrease work papers, thereby focusing on professional development (HubSpot, Base, BaseHRM, E-contract);
Working in a young atmosphere with 90% Gen Z, which is energetic and creative, with various connection activities (travel, company birthday);
A clear promotion roadmap, wage increases and an evaluation system for promotions;
Paying social insurance according to state regulations;
Working time: 8 hours from Monday to Friday.