- Location: Ho Chi Minh City, Viet Nam
- Job Type: Full-time
- Experience : 5-10 years
Job Summary:
We are seeking a skilled Big Data Engineer with 510 years of experience in building and
maintaining scalable, high-performance data pipelines and processing frameworks. The
ideal candidate will have strong hands-on expertise in orchestration using Apache Airflow and
distributed data processing with Apache Spark. This role requires a solid understanding of big
data architecture, data engineering best practices, and a commitment to delivering efficient,
reliable, and maintainable data solutions that align with business and technical requirements.
Roles and Responsibilities:
- Design, build, and manage scalable and reliable data pipelines using Apache Airflow.
- Develop and optimize large-scale data processing workflows using Apache Spark both
- batch and Structured Streaming.
- Work closely with data architects, analysts, and business stakeholders to translate data
- requirements into efficient data engineering solutions.
- Ensure the quality, performance, and security of data processes and systems.
- Monitor, troubleshoot, and optimize data workflows and job execution.
- Document solutions, workflows, and technical designs.
Qualifications:
Required:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related
field.
- 510 years of experience in data engineering or related roles.
- Strong experience with Apache Airflow for data orchestration and workflow
- management.
- Proven expertise in building and tuning distributed data processing applications using
- Apache Spark (PySpark) both Structured Streaming and Batch.
- Solid understanding of big data platforms and cloud-based data ecosystems (AWS).
- Proficient in SQL and working with large datasets from various sources (structured and
- unstructured).
- Experience with data lakes, data warehouses, and batch/streaming data architectures.
- Familiarity with CI/CD pipelines, version control, and DevOps practices in a data context.
- Strong problem-solving and communication skills, with the ability to work independently
and collaboratively.
Preferred:
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience working in Agile/Scrum environments.
- Knowledge of data quality frameworks and validation engines.
- Experience with data catalog tools.
Benefits
- Hybrid working model (work from home + office).
- 15 days annual leave, Monday-Friday schedule.
- MacBook Pro provided.
- Attractive salary & fully paid insurances.
- 13th-month salary (paid before Lunar New Year).
- Premium healthcare insurance (PVI).
- Allowances: team building, sports activities, parking fees, electricity & internet fees.
- Training courses (English, IT, soft skills).
- Annual company trip (4 days including weekends).
- GoodLife program: quarterly trips & sports clubs.
- Annual health check-up.
