Data Engineer

rETL Process: Implement and manage reverse ETL processes using tools such as Hightouch to build data models, create audiences, sync audiences back to operational tools.
Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to process and integrate data from multiple sources, ensuring high- quality and reliable data flow.
Data Quality & Monitoring: Ensure the quality and accuracy of data by conducting regular checks, resolving data inconsistencies, and optimizing data workflows.
ETL Process: Develop and implement ETL (Extract, Transform, Load) processes using Databricks to transform raw data into usable formats for analysis and reporting.
Database Management: Manage and optimize relational and non- relational databases including MongoDB, HubSpot, Stripe, ensuring data accessibility and integrity for the data science and analytics teams.
Collaboration with Data Teams: Work closely with data scientists, analysts, and product teams to understand data needs and deliver the infrastructure to support advanced analytics and machine learning models.
Performance Optimization: Continuously monitor, optimize, and troubleshoot data pipelines for performance, reliability, and scalability.
Cloud Infrastructure: Utilize cloud platforms (e.g. AWS) for data storage and processing, ensuring scalability and security.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
Strong understanding of data architecture principles and best practices for managing large datasets.
Experience with cloud platforms (AWS) and their data- related services (e.g., Redshift, BigQuery, S3).
Solid experience with data warehouses and platforms such as Databricks, as well as building data lakes.
Proficiency in programming languages (e.g., Python, SQL, Scala) and frameworks (e.g., Apache Spark, Hadoop).
Familiarity with version control systems (e.g., Git) and containerization technologies (e.g., Docker).
Proven experience 4+ years in data engineering, with a strong understanding of data modeling, ETL processes, and database management.
Nice to have:
Experience with big data technologies (e.g., Hadoop, Spark).
Familiarity with real- time data streaming tools (e.g., Apache Kafka).
Experience working in the fitness or wellness industry, particularly with personal trainer/client management systems.

Compensation & Benefits:

Quarterly performance bonuses and year- end awards.
Competitive salary with 13th- month pay and performance bonus.
Paid sick leave, maternity leave, and vacation days.

Work Environment:

Talented people from all over Vietnam and the world.
State- of- the- art equipment provided.
International team for global career growth.
Agile- Scrum methodology with flexible work hours.
Beautiful working environment near Danang&039;s city center (Dragon Bridge) and Hanoi office.

Health & Wellness:

PVI health care program & annual health checks.
Sports clubs (football, badminton) & company retreats.
Modern pantry for relaxation.

Professional Growth:

Potential opportunities to join a fast- growing company.
Training, mentoring & e- learning opportunities.
1- 2 performance reviews annually.

Cập nhật gần nhất lúc: 2026-01-13 06:25:02