IT - Data Engineering

You will be joining a talented team to build and operate modern data platform. As a Data Engineer, you'll lead initiatives optimizing data flow, ensuring data quality, and implementing security measures.

• Collaborate with cross-functional teams to understand data requirements and objectives.


• Design and implement scalable and secure data pipelines and data APIs for collecting, processing, storing, and delivering data downstream.


• Develop and maintain datasets, ensuring accuracy, completeness, and compliance with security standards.


• Work closely with data analysts and data services team to understand data needs and implement solutions that meet compliance requirements.


• Implement robust data quality checks and validation processes to identify and rectify inconsistencies, ensuring data integrity.


• Monitor and optimize data processing and storage for efficiency, cost-effectiveness, and compliance.


• Identify and implement solutions to enhance the performance of data pipelines, with a focus on security best practices.


• Apply expertise in security practices, ensuring the protection of sensitive data.


• Writing technical documents (ERD, Operation guide ...) to transfer working pipelines to the operation team.


• Report the progress/issue status to DE leader.

• Bachelor's degree in Computer Science, Information Technology, or a related field.


• 3+ years of experience as a Data Engineer, Backend Developer, or similar roles.


• Experience in data modeling, data lake, data warehouse, and streaming data.


• Strong proficiency in programming languages such as Python, Java, or Scala.


• Strong proficiency in big data tech stack such as Hadoop, Spark, Flink, Kafka.


• Strong proficiency in Airflow for designing and managing complex workflows and dependencies.


• Solid understanding of data analytics and flow analysis for downstream app.


• Familiarity with database systems (e.g., SQL, NoSQL) and data integration tools.


• Strong analytical and problem-solving skills with a detail-oriented mindset.


• Excellent communication and collaboration skills to work effectively with cross-functional teams, ready to help other team members.


• Knowledge of security practices in the context of data handling.


• Familiarity with version control systems (e.g., Git) and agile software development practices and tools (JIRA, Confluence)


• Be able to manage time effectively & deliver high-quality work.


• Ability to work independently and manage multiple tasks within deadlines.


• Possess a proactive mindset & positive attitude, able to bring in good influences to your teammates & stakeholders.


• Ability to read and understand English fluently.

It is a plus if you have:

• Knowledge about Data Architecture in the bank, Data model using Data Vault 2.0.


• Knowledge and methods to build a data-driven working environment.


• Know-how to set up, configure and maintain a data self-service environment.


• Know-how and the scripting and coding prowess to set up, configure and maintain a machine learning model development environment.

Note:

• Contract: 12 months (high ability to extend)


• Bonus: every 6 months

• Average 15 Monthly Base salary per year. 13 Monthly Base Salary.
• Training.
• Recorgnition.
• ACB Health Care.
• Meal Allowance.
• Professional and Transparent Working Environment.