As a Data Engineer specializing in Customer 360, you will play a pivotal role in designing, implementing, and maintaining the data infrastructure necessary for building a comprehensive and unified view of customer data across the organization.
Your primary focus will be on developing scalable and efficient data pipelines to aggregate, cleanse, and integrate customer data from various sources.
You will collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure the availability and accuracy of customer information for strategic decision-making and personalized customer experiences.
1. Data Pipeline Development
Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to collect and integrate customer data from disparate sources into a centralized Customer 360 platform.
Implement data cleansing, validation, and enrichment processes to ensure data quality and accuracy.
2. Database Management
Work with both relational and non-relational databases to store and organize customer data efficiently.
Optimize database performance and troubleshoot issues related to data storage and retrieval.
3. Integration and API Management
Collaborate with internal and external teams to integrate data from third-party applications and services.
Develop and maintain API connections to streamline data flow between different systems.
4. Data Modeling
Design and implement data models that support the creation of a unified and comprehensive view of customer data.
Ensure data models are scalable, flexible, and aligned with business requirements.
5. Data security and Compliance
Implement data security measures to safeguard sensitive customer information.
Ensure compliance with relevant data protection regulations and industry standards.
6. Cross-function coordination
Work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with the necessary support.
Collaborate with IT and other departments to align data initiatives with broader organizational goals.
7. Documentation
Create and maintain comprehensive documentation for data processes, data models, and system architecture.
Job Requirement
We are looking for candidate with:
Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
At least 3 years of practical experience in data engineering/ data management/ data architecture with a focus on customer data and analytics.
Experience in banking, ride-hailing, consumer finance, non-life insurance, digital banking is preferred.
Strong experience with ETL tools, database management systems, and data integration techniques.
Proficiency in programming languages such as Python, Java, or Scala.
Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
Familiarity with cloud platforms (e.g., AWS) and their data services.
Excellent problem-solving and communication skills.
Ability to work collaboratively in a fast-paced, dynamic environment.
What we offer:
Attractive income, competitive salary and bonus according to ability (16-18 month package)
Bonus on Holidays and New Year (according to banking policy from time to time)
Get preferential loans according to the bank's policy from time to time
Attractive leave mode according to job rank (12-14 paid leaves/year)
Compulsory insurance according to labor law & VPBank care insurance for employees depending on rank and working time
Participate in training courses depending on the Training Framework for each position
Dynamic, friendly working environment with many opportunities for training, learning and development; participate in many interesting cultural activities (sports event, talents, teambuilding activities...)
