Description:

Lead the development of scalable and high-performance data pipelines for efficient data ingestion, transformation, and storage.
Contribute to architectural decisions and optimize workflows to enhance data reliability and accessibility.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or equivalent with 2-4 years of relevant experience.
Expertise in SQL and one programming language (Python, Java, or Scala).
Strong experience with relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, DynamoDB).
Hands-on experience with Apache Spark and real-time streaming technologies (Kafka or Kinesis).
Experience with AWS cloud services (EMR, Glue, S3, Redshift) and Databricks.
Proficient in designing and optimizing ETL/ELT pipelines using Apache Airflow.
Strong understanding of CI/CD for deployment workflows and experience in Agile environments.
Fluent in English (written and verbal).

100% Remote Culture: Work from anywhere.
Performance-based Year-End Bonus.
Wellness Allowance for physical and mental health classes.
20 days of paid time off per year, plus Vietnam holidays.
MacBook provided.
Collaborative events and continuous learning opportunities.
Health and Wellness Benefits including Generali Health Care and annual check-up.

Skills

Benefits