Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion, transformation, and loading from various sources.
Collaborate with cross-functional teams to understand data requirements and design efficient data models and schema for storage in data warehouses or other data storage solutions.
Optimize data workflows and processes to ensure high performance, reliability, and scalability of data infrastructure.
Monitor and troubleshoot data infrastructure to identify and resolve issues proactively, ensuring minimal disruption to data workflows.
Conduct performance tuning and optimization of database queries, data processing jobs, and data storage solutions for improved efficiency.
Stay updated on emerging technologies, tools, and trends in data engineering and recommend innovative solutions to enhance data capabilities and drive business value.
Document data architecture, processes, and workflows to facilitate knowledge sharing and ensure scalability and maintainability of data solutions.
Collaborate closely with data analysts to understand analytical requirements and provide support in data exploration, visualization, and interpretation to derive actionable insights for the business.
A professional and open working environment that values 5 core principles: "Smart - Honest- Brave- Friendly – Cooperative”
Working hours from Monday to Friday, with a 1-hour and 30-minute lunch break;
Friendly colleagues who prioritize the personal development of each individual;
A spacious and well-equipped office space to support your work;
Special Care for Employees
Competitive compensation package with attractive bonuses;
Variety allowance: lunch, mobile phone, business trip...;
Exclusive comprehensive health insurance benefits with SHBFC Care;
Annual health check-ups at top hospitals in Vietnam and statutory social insurance benefits as per state regulations;
Annual trips and team-building activities.
Focus on Personal Development Support
Receive guidance, mentorship, and career development support from talented and experienced management;
Opportunities to participate in major projects and be at the forefront of the consumer finance industry;
Policies to support educational activities, knowledge sharing, and cultural exchange (Training, Seminars, etc.).
Job Requirement
Bachelor's degree or higher in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
Proven experience (3+ years) working as a data engineer, software engineer, or a related role, preferably in the finance or banking industry.
Strong proficiency in SQL and other programming languages such as Python, Java, or Scala, etc., with the ability to write efficient, clean, and maintainable code.
Solid understanding of database systems, data warehousing concepts, and proficiency in SQL databases like Oracle, PostgreSQL, MySQL, SQL Server,...
Knowledge of data modeling principles and experience designing efficient data schemas for relational and non-relational databases.
Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues.
Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
Experience with version control systems such as Git and proficiency in Linux/Unix environments.
Continuous learning mindset with a willingness to stay updated on emerging technologies and best practices in data engineering and analytics.
