Data Engineer

Programming Language (Python, SQL), Data Technologies (Hadoop,

Spark, Kafka), Orchestration Tools (Jenkins, Airflow), Cloud Platform

AWS (S3, Redshift, EC2, EKS, Glue), Understanding of Data Modeling

Principles (e.g. Star Schema, Snowflake Schema), Version Control

(Github, Gitlab), Knowledge of Best Practices of Data Security &

Compliance

1. Design, develop, and maintain a robust and efficient data

architecture to collect, store, and process data from various sources

in a used car sales website platform.

2. Develop and implement optimal database schemas, and ensure

data integrity and quality to support accurate analysis and decision

making for the development and management teams.

3. Build and manage data workflows (data pipelines) to flow data

efficiently from source to destination, so that relevant information

can be accessed and used quickly by various parts of the company.

4. Collaborate with data scientists, analysts and development teams

to understand data needs and provide solutions that enable

in-depth analysis and application of business intelligence within the

used car sales platform.