Data Engineer Data Warehouse, ELT, Python

Let’s become our Data Engineer, and you will

Participate in all stages of agile product development life cycle with Scrum.
Work closely with product managers and business stakeholders, analyze the requirements and feedback to improve the requirement itself;
Develop difference technology projects of 7- Eleven VN;

We expect you to

Be proficient in at least one modern programming language (e.g., Python or Java);
Document processes and improve automation to support future scaling.
Deliver high- quality output and continuously improve yourself;
Work with business teams to design new data models and transformations;
Take ownership of our data platform, ensuring reliability, scalability, and data quality;
Have strong knowledge of data architecture, modeling, and pipeline design;
Focus on solving problems end- to- end, not just completing isolated tasks;
Be a good team player, collaborating across product, engineering, and business teams;

Yêu cầu công việc

Having these technical requirements will be your advance

2- 4 years of experience in handling large data sets (multiple TBs), or development of data mart, data warehouse, data extraction and transformation between systems;
Strong experience in at least one of the following: ClickHouse, BigQuery, Snowflake, Redshift, PostgreSQL;
Support the development team to design the features that use analytics data.
Experience with k8s, helmchart is a plus;
Design and build dashboard, report to visualize data;
Ensure the data quality and consistency with monitoring and support, and play an active role in establishing data governance from different sources;
Designing solutions that provide analytics in real- time;
Experience with Superset, Kafka, Airflow, dbt, or Spark;
Build scalable and reliable ETL pipelines and processes to assemble data from a large number and variety of data sources;
Growing our Data Platform so that new data requirements can be done quickly;
Creating more tools and frameworks for processing big data;

We are cool

Flat team, nice colleagues, no boss;
Morden tech stack (Google Cloud Platform, Docker, Kubernetes, Rancher) and tools (Google Chat, Jira);
Strong engineering culture, read more of our stories on .
In partnership with Grab, Moca, Google for tech & digital integrations;
Developing Retail Management System that includes Ecommerce Website, Loyalty Application, Master Data System, Supply Chain System, Warehouse Management System and POS.
Agile at heart, everything is flexible and possible;
Catching up with new technologies through the process: experiment, trial, adopt;
Optimizing for scale, handling millions records of data;
Building real- time retails system at scale with Kafka;

And some benefits

13th month- salary;
Support 50% to buy a new MacBook after passing probation;
Company trip, and many team activities (movies, games, lunch).
Chances for training and development (learning out- door, training course, soft skills);
Social insurance and comprehensive health care insurance included;
Having allowances for meals, mobile phone, birthday, special days, traveling;
The flexible working environment in terms of time, office;

Cập nhật gần nhất lúc: 2025-09-17 06:25:02