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.Your role & responsibilities 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. Your skills & qualifications 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. Benefits for youWorking time: Mon-Fri, flexible working timeVery attractive salary and performance bonus.Opportunities to work with global vendors from different culturesPremium Healthcare insurance for employee and family (spouse/children)Annual Health check-up, Birthday giftExternal and Internal Training OpportunitiesWorking device providedOther activities: annual company trip, year-end party, exciting engagement events, coaching opportunities, etc.Annual Salary Review & Promotion