Data Engineer, Specialist

Report to: Manager, Data Engineer Location: Ho Chi MinhFunction: Customer and Information Technology | Department: Information TechnologyType: Individual ContributorTHE OPPORTUNITY:We are currently looking for Data Engineer, Specialist who is responsible for developing and maintaining data pipelines, infrastructure, and systems that support advanced analytics initiatives across various departments and support data integration within the Data Warehouse platform as enterprise golden source.ROLES AND RESPONSIBILITIES:Develop and implement data pipelines, ETL processes, and set up routines for data from various data sources.Optimize the data processing and query performance to ensure scalable and efficient data operations.Implement data quality controls, data governance policies and securities requirement to safeguard sensitive insurance dataCollaborate with data scientist, data analysts and other business stakeholders to understand data needsDevelop technical and training manuals and comply to other company data life cycle standardsStay up to date with emerging technologies, trends, and best practice in data engineers to drive continuous improvement and innovation.JOB REQUIREMENTS:Education & ExperienceEducation: BSc degree in computer science. Data Engineering, Information Systems, Mathematics or relevant fieldsExperience 3-5 years of experience as a Data Engineer or similar role within the life insurance industry or other relevant financial services sector. Technical skillExperience with Data warehouse: Databrick, Spark. Experience with Business Intelligence: Power BIExpert-level SQL: SQL Server, SQL Databrick. Experience in programming language – Python, Spark Experience with Git source control. Experience with building data model special on insurance domain. Hands-on experience of working with Data projects that have a complete CI/CD system.Experience with ETL tool: Azure Data Factory, Airflow. Soft skill: Ability to influence both technical and business peers and stakeholders.Lead by example – jump 'on the tools' when required to support the team.Good communication skills with the ability to convey complex technical concepts in clear and concise language for various audiences, English communication is required.Demonstrated problem-solving skills and a results-oriented mindset.