[HCM/ ĐN] Senior Data Engineer (English Speaking)
SmartOSC Marketing Agency · Ho Chi Minh City, Vietnam
Apply & track with Apply EdgeKEY RESPONSIBILITIES AND RESPONSIBILITIESData Platform & Engineering
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize batch and real-time data ingestion frameworks.
- Develop enterprise data lake and data warehouse solutions.
- Ensure high data quality, governance, reliability, and observability.
- Implement data modeling for analytics, reporting, and AI/ML use cases.
- Optimize performance and cost efficiency of cloud-based data platforms.AI & Analytics Enablement
- Prepare clean and reliable datasets for AI/ML initiatives.
- Collaborate with Data Scientists and AI Engineers for feature engineering.
- Enable customer analytics, personalization, demand forecasting, and operational optimization.Governance & Security
- Implement data governance, lineage, and access controls.
- Ensure compliance with security and privacy standards.
- Monitor and troubleshoot data quality and pipeline issues.Collaboration
- Work closely with Product Owners, Architects, DevOps, QA, and business teams.
- Participate in solution design, estimation, and technical discussions.
- Provide technical guidance and mentoring to junior engineers.2. REQUIREMENTSTechnical Skills
- Strong experience with SQL and data modeling.
- Proficiency in Python, Scala, or Java.
- Experience building ETL/ELT pipelines using tools such as Apache Spark, Airflow, dbt, Kafka, NiFi, or Talend.
- Hands-on experience with cloud platforms including AWS, Azure, or GCP.
- Experience with modern data stack technologies such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
- Experience with CI/CD and DevOps practices.
- Understanding data governance and data quality frameworks.Preferred Qualifications
- Bachelor’s degree in computer science, Data Engineering, or related field.
- 5+ years of experience in Data Engineering, have experience in retail or telco domain is a plus.
- Experience with streaming and real-time architecture.
- Experience supporting AI/ML platforms.
- Knowledge of microservices and event-driven architecture.
- Strong communication and stakeholder management skills.Nice to Have
- Experience with DataOps or MLOps.
- Experience in customer 360 or personalization platforms.
- Knowledge of airline KPIs such as Load Factor, Yield, Ancillary Revenue, On-Time Performance, and Revenue Leakage.
- Experience handling large-scale transactional systems.3. BENEFITS
- Competitive salary and compensation package.
- Performance review twice a year.
- Flexible working hour based on team and project requirements.
- Professional international working environment.
- Training and career development opportunities.
- Annual company trip and internal engagement activities.Personal Data Consent Notice: By submitting your application, you consent to SmartOSC collecting and processing your personal data for the purposes of recruitment and talent acquisition, in accordance with applicable data protection laws. Your information will be treated with strict confidentiality and will not be shared with third parties without your consent.