Data Engineer (Data Visualization Dashboard)

Randstad Malaysia

Kuala Lumpur

On-site

MYR 60,000 - 75,000

Full time

14 days+

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Job summary

Randstad Malaysia is looking for a skilled Data Engineer to support a Data Analytics project in Kuala Lumpur. This role focuses on designing and implementing ETL pipelines to prepare data for analytics and reporting while ensuring data availability and accuracy.

The ideal candidate should have a Bachelor's degree in Computer Software or a related field, with at least 2 years of experience in ETL development and proficiency in Python. The position offers the opportunity to work collaboratively with data analysts on meaningful projects.

Qualifications

  • Strong experience in ETL development and data pipeline design.
  • Solid programming skills in Python for data transformation.
  • Familiarity with data modeling and best practices in data engineering.

Responsibilities

  • Design, develop, and maintain ETL workflows using AWS Glue, Python, and related tools.
  • Integrate data from various sources into a centralized data lake or warehouse.
  • Ensure data quality and consistency across ETL processes.
  • Optimize data pipeline performance and troubleshoot issues.
  • Collaborate with analytics and business teams to understand data requirements.

Skills

ETL development
Data pipeline design
Python
Data modeling
Dashboard visualization

Education

Bachelor's in Computer Software or related

Tools

AWS Glue

Job description

We are seeking a skilled Data Engineer to support a Data Analytics project. The role focuses on designing and implementing ETL pipelines to prepare data for downstream analytics and reporting. You will work closely with data analysts and stakeholders to ensure data availability, accuracy, and performance.

Key Responsibilities
  • Design, develop, and maintain ETL workflows using AWS Glue, Python, and related tools.
  • Integrate data from various sources into a centralized data lake or warehouse.
  • Ensure data quality and consistency across ETL processes.
  • Optimize data pipeline performance and troubleshoot issues.
  • Collaborate with analytics and business teams to understand data requirements.
Required Skills and Experience
  • Strong experience in ETL development and data pipeline design.
  • Solid programming skills in Python for data transformation.
  • Familiarity with data modeling and best practices in data engineering.
  • Ability to work independently and deliver results on a tight timeline.
Experience

2 years

Skills

python, dashboard visualization

Qualifications

Bachelor's in Computer Software or related

Education

Bachelor Degree

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