Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Not Available, Hồ Chí Minh, Hồ Chí Minh
Overview
- Prepare data architecture for Collection data mart and features store.
- Lead and maintain Collection data mart for analysis.
- Lead and maintain Collection feature stores for scorecard development.
- Ensure data reconciliation process and data quality.
- Prepare ETL to construct Collection data mart and features store.
- Prepare ETL for data integration between DWH, DM and CRM system.
- Build ERD, data pipelines and ETL processes via SSIS.
- Ensure data accuracy and reliability as well as job performance, identify bottleneck and provide appropriate hotfixes to make sure no effect on daily operation.
- Ensure system and data integration with external services (Dialer adapter, Hadoop, and other Operational system) for daily operation (e.g., real-time dashboard, reporting and real time scoring).
- Maintain sets of group reporting/ group presentation for BOD and external clients.
- Your Skills and Experience
- University degree in MIS, BIS, IT, CS, Economy, Finance or relevant
- Good knowledge of ETL and Data analysis tools: SQL/ SSIS/ Python/ Spark/ R
- Power BI:• Power Query for data cleaning and transformation
- DAX for calculations and measures
- Data modelling
- Reports and dashboards
- Intermediate or advanced knowledge of MS Excel
- Minimum 3 years of solid experience as Data Engineer Lead
- Experience in Hadoop, Spark, distributed systems are preferred
- Experience in the Consumer Finance industry or similar position (dealing with Collection, product development, marketing, project management, ...) is preferred
- Good knowledge of verbal and written English language
- Problem solving and decision-making personality
- Good communication and presentations skills
- Proactive, flexible personality and adaptable for the changes
- Accuracy and self-reliance
- Proven experience in SQL scripting and data warehouse structure will be an advantage
- Experience with data workflow managers such as Airflow, Drake, or Luigi
- Collection processes
- Structural thinking and focus on the results
- Be able to work as a part of a team and independently
- Can work under pressure
- Why You'll Love Working Here
Benefits
BonusHealthcare
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