Overview
Offices |
Kuala Lumpur |
Job-type |
Full-Time |
Job Category |
IT - Software |
Industries |
IT |
Salary |
MYR 4,000
- 5,000
/Month
|
Who you'll be working for
The company bridges the gap between AI's potential and real-world business success.
What requirements you'll need to be eligible
Requirement:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 1-2 years of relevant industry experience in data engineering or a similar role.
- Strong programming skills in Python and SQL.
- Experience with ETL tools and frameworks (e.g., Apache Airflow).
- Familiarity with data scraping techniques and tools (e.g., Scrapy).
- Understanding of database design principles (normalization, indexing).
- Experience with API development and integration.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
What you'll be doing on the job
Job Description:
- Design, develop, and implement ETL pipelines using Python and SQL to automate data extraction, transformation, and loading processes.
- Develop and maintain data pipelines for efficient data ingestion from various sources.
- Utilize web scraping techniques to gather relevant data from web sources.
- Design and manage relational databases to ensure data integrity and scalability.
- Develop and maintain APIs to facilitate data exchange between different systems.
- Collaborate with data analysts and data scientists to understand data requirements and build solutions.
- Document data pipelines and database structures for clarity and future reference.
- Maintain and troubleshoot existing data pipelines and databases.
- Stay up-to-date on the latest trends and technologies in data engineering.
Consultant Contact
Sound interesting?
Apply!