Lead Data Engineer

2 weeks ago

Ho Chi Minh City, Ho Chi Minh, Vietnam Ahamove Full time ₫120,000 - ₫200,000 per year

You will lead Ahamove's Data Engineering team, responsible for building and scaling our terabyte-scale data warehouse. Our systems handle nearly 200,000 daily orders across both real-time streaming and batch processing pipelines. Your mission is to ensure the reliability, scalability, and performance of our data infrastructure, empowering:

  • Real-time dashboards for operational visibility
  • Machine Learning services to power intelligent decision-making
  • Robust query experiences for internal teams and external stakeholders

Main Duties:

  • Build, maintain and optimize in-house data infrastructure including database, data warehouse, orchestration system, data streaming and batching pipelines.
  • Work with multiple Cloud Platforms such as GCP, AWS, Databricks.
  • Work with big and complex datasets and multi databases for multiple departments.
  • Create a benchmark, alert, and audit log for the data system to ensure stability and scalability of data and system.
  • Lead data engineer team and responsible for tech-stack and tech-cost of data platforms
  • Communicate with stakeholders including Product Owner, Software Engineers, Business Users, Data Analysts and Machine Learning Engineer to solve data-related problems.

Requirements:

  • Bachelor degree in Computer Science or Software Engineer or Information System
  • Specializing in data science or a higher degree is a big plus.
  • At least 06-year-experience in data engineer role and building data platforms and pipelines for analytics.
  • Excellence in Python and one programming language Java, Scala, Go, Javascript, Typescript, R is a big plus.
  • Excellence at SQL in DBMS.
  • Excellence with cloud services such as GCP or AWS.
  • Experience with Hadoop, Spark, Databricks is a big plus.
  • Excellence with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, MotherDuck, etc.
  • Excellence with streaming process platforms and streaming concepts such as Redpanda, Kafka, RabbitMQ, CDC or any open-sources.
  • Experience with data pipeline and workflow management tools: Airflow, dbt, Airbyte, etc.
  • Knowledge of data visualization tools like Metabase, PowerBI, Looker Studio, etc.
  • Exposure to emerging open-source or technologies to apply.
  • Excellence with using source version control such as gitlab, github.
  • Experience with Kubernetes or DevOps skills (Linux, Networking) is a big plus.

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