Data Engineer

Data Flows; Kuala Lumpur; On-site; MYR 163,398 - 245,098; Full time

Job summary

A data technology firm based in Kuala Lumpur is seeking a data engineer to design and maintain scalable data pipelines. The role involves collecting and transforming data, developing machine learning models, and creating insightful dashboards. Candidates should have a degree in a related field and proficiency in Python and SQL, along with strong problem-solving skills. Familiarity with data visualization tools and cloud platforms is preferred. This position provides a dynamic environment for transforming data into actionable insights.

Qualifications

• Proficiency in Python and SQL for data manipulation and analysis.
• Understanding of machine learning algorithms and statistical modeling.
• Experience with big data technologies is a plus.

Responsibilities

• Design, build and maintain scalable data pipelines and ETL processes.
• Collect, clean and transform data from multiple sources for analysis.
• Create dashboards and visualizations to communicate insights.

Skills

Proficiency in Python

Proficiency in SQL

Strong problem-solving skills

Attention to detail

Experience with data visualization tools

Understanding of machine learning algorithms

Ability to communicate technical concepts

Education

Diploma or Bachelor Degree in Computer Science

Degree in Data Science

Degree in Statistics

Tools

Power BI

Tableau

AWS

GCP

Azure

Spark

Hadoop

Airflow

Job description

• Engineering - Software (Information & Communication Technology)

RESPONSIBILITIES:

• Design, build and maintain scalable data pipelines and ETL processes
• Collect, clean and transform data from multiple sources for analysis
• Develop and deploy machine learning models to solve business problems
• Create dashboards and visualisations to communicate insights to stakeholders
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Perform exploratory data analysis to identify trends, patterns and opportunities
• Optimise database performance and ensure data quality and integrity
• Document data architectures, models and analytical methodologies
• Support clients with data-driven decision making and strategy recommendations

QUALIFICATIONS:

• Diploma or Bachelor Degree in Computer Science, Data Science, Statistics or related field
• Proficiency in Python and SQL for data manipulation and analysis
• Experience with data visualisation tools (Power BI, Tableau or similar)
• Understanding of machine learning algorithms and statistical modelling
• Familiarity with cloud platforms (AWS, GCP or Azure)
• Knowledge of data warehousing concepts and ETL processes
• Strong problem-solving skills and attention to detail
• Ability to communicate complex technical concepts to non-technical stakeholders
• Experience with big data technologies (Spark, Hadoop, Airflow) is a plus

We’re passionate about transforming your businesses with technology. Our customised solution will transform your legacy systems with modern architecture and frameworks.

• Level 30, The Gardens North Tower,
  Mid Valley City, 59200,
  Kuala Lumpur,
  Malaysia