[HCM] Lead Data Engineer

Location
Hồ Chí Minh
TimeCircle
30/09/2025

Job description

Main Duties:

Data Infrastructure & Pipeline Development

  • Build, maintain, and optimize in-house data infrastructure including databases, data warehouse, orchestration systems, and real-time/batch data pipelines.
  • Develop data ingestion pipelines using CDC, streaming, and ETL/ELT frameworks.
  • Ensure high data availability, integrity, and consistency across multi-environment systems.

Platform Leadership

  • Own the technical architecture, tech-stack, and cost optimization of Ahamove’s data platform.
  • Establish benchmarks, monitoring, alerting, logging, and auditing for system reliability and scalability.
  • Evaluate and integrate emerging data technologies where appropriate.

Cross-functional Collaboration

  • Work closely with Product Owners, Software Engineers, Business teams, Data Analysts, and MLEs to solve data-related challenges.
  • Design APIs and services to expose data for internal & external use cases.

Team Leadership

  • Lead, mentor, and grow the Data Engineering team.
  • Drive technical excellence, coding standards, and best practices.

Job requirement

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related fields.
  • 5+ years of experience in Data Engineering and building scalable data platforms.
  • Strong proficiency in Python
  • Excellent SQL skills across OLTP/OLAP systems.
  • Hands-on experience with cloud platforms (AWS, GCP) and distributed systems.
  • Deep understanding of OLTP & OLAP databases such as MongoDB, PostgreSQL, BigQuery, ClickHouse, MotherDuck, etc.
  • Experience with streaming platforms: Kafka, Redpanda, RabbitMQ, or similar.
  • Knowledge of orchestration tools: Airflow, dbt, Airbyte, etc.
  • Strong understanding of version control (GitHub/GitLab).

Nice-to-have

  • Experience with big data ecosystems: Hadoop, Spark, Databricks.
  • Experience with Kubernetes, Linux, Networking, or DevOps practices.
  • Ability to build APIs using Python, Go, or Node.js.
  • Familiarity with visualization tools (Metabase, Looker Studio, PowerBI).
  • Exposure to emerging open-source data technologies.

Benefit

  • Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance
  • Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer)
  • Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain