Data Engineer

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Job Description

What our projects are about: We design, develop and maintain Enterprise BI/Data Warehouse/Data Lake for clients in various domains. Depending on our availability and your suitability, you may be assigned to projects with English-speaking or Vietnamese-speaking clients, on-premises or cloud technologies etc. You will work with the following roles: Project Manager, Data Architect, Data Analyst, Data Scientist.

  • Build optimal data pipelines: Ingestion, Processing, Cleansing and Transformation, Visualization … Data governance and security.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using various technologies (ex: Apache spark, Apache flink, Apache Nifi, Apache Kafka, Hadoop, Minio, K8S/Docker, Trino, IceBerg…).
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
  • Collaborate with clients and internal cross-functional teams including the Executive, Product, Data, and Business teams
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Collaborate with Devops team to deploy data projects as per project requirements

What are we looking for

  • At least 5 years experience in Data Engineer
  • Experience in leading Data team 
  • Experience in Software Engineering
  • Proven track in building team of Data Engineer
  • Proficient in one of the programming languages Java, Scala, Python and must have a firm grasp of key concepts in programming languages such as: multi-threaded programming, synchronization, database processing, file processing, logging, basic data processing algorithms, data testing …
  • Experience with RDBMS (SQL Server, MySQL, PostgreSQL); Linux (bash scripts, firewall,…); Git, Kafka, Spark, Hadoop, Airflow
  • Knowledge of test, document in the projects you have done
  • Efficient consulting skill

Preferred:

  • Monitoring, Logging: ELK Stack, Grafana; 
  • Experience with NoSQL Database (MongoDB, Neo4J, Cassandra), Backend (Spring, FastAPI, Akka)
  • Ability to design architectures; model for a systems in level average.

Benefits and Perks

  • Working hours: 8:00 AM – 05:30 PM, with a 1.5-hour lunch break (12:00 PM – 1:30 PM), Monday to Friday.
  • 13 months’ salary + holiday bonuses; annual salary review (twice a year).
  • Annual trips, monthly/quarterly team building.
  • Social insurance, health insurance as per government regulations.
  • BSH health insurance package. Annual health check-ups.
  • A flat, youthful, and comfortable working environment.
  • Be part of a potential, challenging, but equally exciting project.

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