Job Summary
- Technical Skill:
- Python ,
- MS SQL ,
- R ,
- Java ,
- JavaScript ,
- PostgreSQL ,
- MongoDB ,
- DBMS ,
- OLAP ,
- API ,
- Hadoop ,
- Github ,
- TypeScript ,
- RabbitMQ ,
- Apache Spark ,
- Scala ,
- Golang ,
- Apache Kafka ,
- AWS ,
- Kubernetes ,
- Gitlab ,
- MS Power BI ,
- OLTP ,
- GCP ,
- Apache Airflow ,
- Looker Studio ,
- ClickHouse ,
- Databricks ,
- Google BigQuery ,
- Data Visualization ,
- Metabase ,
- DBT
Job description
Overview of job
- 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 for multiple departments.
- Create a benchmark, alert, and audit log for the data system.
- Communicate with stakeholders including Product, Software Engineers, Business Users, Data Analysts and Data Scientists to solve data-related requests.
- Annual health check-ups.
- Sports club: Running, football, badminton
- Open communication with Senior Engineer & Technical Leader
- Challenging working environment with attractive domain as Logistics
- Fair team
- Specific pantry with nice decoration & Coffee/Milk Coffee/Chocolate & Tea
- Comfortable Private working Area for TECH team
- Teambuilding + Outing trip
- Join Training Courses and Tech Sharing
- Mid-Autumn Party, Christmas party, Year-end Party
- Monthly allowance for taxi
- Competitive salary, 13th-month pay & Performance Bonus
Job Requirement
- Bachelor degree in Computer Science or Software Engineer or Information System
- Specializing in data science or a higher degree is a big plus.
- From 01 to 03 year experiences in data engineer role and building data platforms and pipelines for analytics.
- Excellence in at least one programming language such as Python, Java, Scala, Go, Javascript, Typescript, R.
- Excellence at SQL in DBMS.
- Experience with cloud services such as GCP, AWS.
- Experience with various OLTP and OLAP databases and data warehouses: MongoDB, PostgreSQL, BigQuery, ClickHouse, etc.
- Experience with streaming process platforms and streaming concepts such as Redpanda, Kafka, RabbitMQ, CDC or 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.
- Experience with building and developing API with Python, Go or Javascript/Typescript.
- Experience with using source version control such as gitlab, github.
- Experience with Hadoop, Spark, Databricks is a big plus.
- Experience with Kubernetes is a big plus.
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- Python
- MS SQL
- R
- Java
- JavaScript
- PostgreSQL
- MongoDB
- DBMS
- OLAP
- API
- Hadoop
- Github
- TypeScript
- RabbitMQ
- Apache Spark
- Scala
- Golang
- Apache Kafka
- AWS
- Kubernetes
- Gitlab
- MS Power BI
- OLTP
- GCP
- Apache Airflow
- Looker Studio
- ClickHouse
- Databricks
- Google BigQuery
- Data Visualization
- Metabase
- DBT
BUSINESS PROFILE
AhaMove is a great application for delivery in Vietnam.
AhaMove is an app that allows shippers to hire hundreds of shippers right away and help shippers earn extra income with attractive fees and bonus policies. AhaMove is currently leading in the field of urban delivery in Ho Chi Minh City and Hanoi.
AhaMove is a member company of Scommerce - a leading transportation group in Vietnam, with the ability to deliver goods between 63 provinces and cities and a network covering 11,000 communes and wards across the country.
Scommerce's goal is to become the leading O2O (Online to Offline) transport platform in Vietnam, helping buyers and sellers to deliver goods quickly and easily by optimizing technology solutions, transport networks and sources. social force.
With a team of more than 40,000 drivers (15,000 regular drivers), AhaMove is proud to meet the needs of nearly 50,000 customers, including major partners such as The Coffee House, Juno, Tuticare, Heineken, Sendo. , Lazada, Mia, Roasted Chicken OO, Petmart, Le Castella Vietnam, ...