CRM SAS Data Engineer

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.

• 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.
• Experience in backend development, distributed systems, and building API-based applications.
• Proficiency in Java, XML, or any other scripting languages.
• Data Engineering: Strong understanding of data warehousing, ETL processes, and SQL-based data analysis.
• 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.

• 13th Salary Fixed and KPI Bonus
• Premium Health Care
• 24/7 Accidental Insurance
• 100% Social Insurance
• Meal + Phone Allowance
• Yearly Medical Checkup
• 15 Annual Leaves
• Professional and Transparent Working Environment
• Apply Latest Financial Technology in the World