Job Description

Jet Commerce is a leading e-commerce ecosystem service company in emerging market countries in the Southeast Asia regions and Brazil. Providing all in services for brands to win emerging e-commerce markets. Jet Commerce assists brands and local sellers in growing their e-commerce businesses by providing end-to-end e-commerce solutions that prioritize the customer experience. In addition, Jet Commerce offers a variety of other services through its various business units, including Omnichannel System, Live Commerce, Warehousing and Fulfillment Service.

Jet Commerce currently operates in six Asian countries: Indonesia, Thailand, the Philippines, Vietnam, China, Malaysia, and many more to come.

Position: Data Engineer

What You Will Do

Suggest and Implement Improvements:

Identify areas for enhancement in the existing data pipeline.
Propose and execute modifications to optimize performance and reliability.

Understand Stakeholder Requirements:

Collaborate with stakeholders to gather requirements for data integration.
Assist in integrating datasets into the data warehouse to support dashboard building.

Build Data Processing Pipelines:

Design and construct pipelines for data extraction, transformation, and loading (ETL) from diverse data sources.
Ensure pipelines are efficient and scalable.

Communicate with Functions:

Understand the data needs of various functions within the company.
Ensure the data warehouse is prepared to support these needs.

Collaborate on Data Quality:

Work with data analysts to address data quality and consistency issues.

Documentation:

Develop and maintain documentation for all data engineering processes.
Ensure documentation promotes data discoverability.

What You Will Need

Educational Background:

Degree in Computer Science, Engineering, or a related field

Experience:

1-2 years of experience in data engineering, software engineering, or a similar role.

Requirements:

Fluency in SQL, Python, or equivalent.
Solid understanding of database concepts, including handling and storing structured and unstructured data effectively.
Solid understanding of web-scraping and automation
Experience working with big-data technologies
Experience working with data pipeline and ETL frameworks
Excellent communication and teamwork abilities
Strong problem-solving and troubleshooting skills
Knowledge of data modeling and database design principles
Experience with cloud platforms such as AWS or GCP