02 Data Engineer

Home Credit Vietnam

20 Nguyen Dang Giai, District 2, Ho Chi Minh

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We are looking for Data Engineers to join 02 dynamic teams at Home Credit: IT and CRM Technology

1. IT Team:

Design and manage the Enterprise Dimensional Model for Home Credit data.
Serve as data model subject matter expert, approve any data model changes for our analytical data products.
Design and develop dbt to deliver of analytical data products.
Provide data modeling expertise to all Home Credit data teams through code reviews, pairing, and training to help deliver optimal, DRY, reusable, and scalable data designs and queries in Big Data Platform.
Implement the DataOps philosophy in everything you do.

2. CRM Technology Team:

Technical Development:

CRM Component Development: Develop, test, and deploy SAS jobs, processes, and web services to support marketing campaigns and decisioning strategies.
Integration and Performance Optimization: Integrate CRM SAS solutions with internal systems and cloud platforms, ensuring optimal performance and data flow.
Data Mart Management: Manage and maintain the SAS Data Mart, including data quality, ETL processes, and data security.
Configuration and Customization: Configure and customize SAS applications, including information maps, business contexts, campaign definitions, response definitions, common data models, treatments, and decision solutions.
Non-Production Development: Develop and test SAS solutions in non-production environments, adhering to best practices and coding standards.
Production Deployment: Collaborate with the IT team to deploy approved SAS solutions to production environments, ensuring smooth transitions and minimal disruptions.

System architecture:

Architectural Design: Participate in cross-functional teams to define and enhance the overall SAS architecture, focusing on scalability, performance, and maintainability.
Best Practice Development: Establish and promote best practices for SAS development, including coding standards, documentation, and performance tuning.
Solution Design: Design and document complex SAS solutions, considering factors such as data flow, processing logic, and performance requirements.

1. IT Team:

6+ years in the Data space as an Analytics Engineer, or equivalent.
2+ years managing the same data model system over time, evolving the model to meet new business requirements.
Demonstrated experience leading large and complex data warehouse solution, from beginning to operationalization.
Demonstrated experience designing Dimensional Data Modeling.
Extensive experience with incremental data processing, late data arrive handling using tools like dbt and orchestrated through workflow management platforms like Airflow.
Extensive experience in 2 or more major data subject domain (customer, sales, finance, etc.).
Proficiency in SQL and Python.
Good communication: Regularly achieve consensus amongst technical and business teams.

2. CRM Technology Team:

Education: Bachelor's Degree in Finance, Economics, Information Technology, Management Information Systems, Business Information Systems, or a related field.
Proven experience as a Data Engineer.
Data Engineering: Strong understanding of data warehousing, ETL processes, and SQL-based data analysis.
Experience in backend development, distributed systems, and building API-based applications.
Proficiency in Java, XML, or any other scripting languages.
Architecture: Knowledge of SOA, Microservices Architecture, and messaging systems (Kafka, RabbitMQ), cloud platforms and containerization technologies.
Methodology: Familiarity with SDLC, Agile principles, and system development/maintenance practices.

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.