Data Engineer

• Location: Ho Chi Minh City, Vietnam
• Type of Contract: Full-Time Employment

Key Responsibilities:

1. Technology expertise
   • Provides deep specialist guidance and support in their specific specialties (e.g. artificial intelligence, robotic process automation, machine learning, etc., based on subject expertise)
   • Supports the integration of solutions with various technologies
   • Supports and influences the technical activity (design, build, testing) in significant or complex innovation initiatives, accountable to the Innovation or Product Manager for the delivery and quality of technical deliverables
2. Operational effectiveness and efficiency
   • Makes recommendations on how to improve the effectiveness, efficiency and delivery of services through the use of (emerging) technology and technical methods and methodologies
   • Participates in the development of and/or review of standards, documentation and methods of working in the relevant area of expertise
   • Performs preliminary studies, general systems specifications and detailed systems specifications
   • Ensures solution operational readiness: defines global procedures and processes for operations in the area of expertise
   • Ensures IT Customer and Consumer requirements are met and service quality maintained when introducing new products. Considers the cost effectiveness of proposed solutions
   • Responsible for ensuring that all solutions within their technology area are delivered and maintained secure and compliant with internal standards and external regulations, including privacy requirements
   • Understands the business risk appetite and delivers applications within that acceptable risk level
3. Stakeholder engagement
   • Works with IT Innovation managers, Product managers, Tech Leads, Solution Architects and Business Analysts as required to ensure any solution within their specific specialism fits with strategic and technical direction
   • Assists others in resolving complex technical problems and investigating the root cause of problems and recommends smart (specific, measurable, achievable, realistic, timely) solutions
   • Participates in peer reviews of deliverables and carries out formal and informal reviews of technical designs, standards, documentation and/or implementations
   • Provides guidance, directions and also, if needed, technical support to product teams, mentoring and sharing technology knowledge with the teams. 

Job Requirements:

1. Bachelor’s Degree in Computer Science, Engineering or Management of Information Systems
2. Experience in data visualization and statistical techniques and software (e.g., MS Power BI, R, Python, Open source) and cloud environments (AZURE, AWS, Google Cloud, etc.)
3. Experience developing light analytical models to solve business problems
4. Experience in using machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neutral networks, deep learning, optimization, etc
5. Knowledge of advance analytics project methodologies like CRISP-DM/ Aglie
6. Familiarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of this domain
7. Minimum 5 years of experience in Data Engineering. Specialization in Azure, with expertise in Azure data tools such as ADF (Azure Data Factory) and ADX (Azure Data Explorer). Proficiency in designing scalable distributed systems using open-source and big data technologies.