Data Engineer

Job Title: Junior/Senior Data Engineer

Location: Kuala Lumpur

Job Type: Full-time Contract

Job Summary:

We are seeking a skilled and motivated Data Engineer with 3 - 5 years of relevant experience to join our dynamic team. The ideal candidate will have a strong foundation in data engineering and a proven track record in Power BI, ETL processes, Automate Anywhere, Azure, Landmark EDM. This role involves designing, developing, and maintaining our data infrastructure to ensure efficient data operations and insights.

Key Responsibilities

• Data Integration and ETL: Design, develop, and manage ETL processes to integrate data from various sources into our data warehouse.
• Power BI Development: Create, deploy, and maintain Power BI reports and dashboards to provide actionable insights to business stakeholders.
• Automation: Utilise Automate Anywhere to streamline and automate repetitive data processes and tasks.
• Azure Data Solutions:Implement and manage data solutions on Azure, including data storage, data lakes, and data pipelines.
• Data Quality and Governance: Ensure data integrity, accuracy, and consistency across all data platforms.
• Landmark EDM: Apply skills in Landmark EDM to support and enhance our data management and integration processes.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions.
• Performance Optimization: Monitor and optimise the performance of data systems to ensure efficient data processing and retrieval.
  
  
  

Required Qualifications

• Experience: 3 - 5 years of relevant experience in data engineering or related field.
• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in Power BI for data visualisation and reporting.
• Strong experience with ETL processes and tools.
• Hands on experience with Automate Anywhere for process automation.
• Proficiency with Azure data services, including Azure Data Factory, Azure SQL Database, and Azure Data Lake.
• Experience with Landmark EDM: For data management and integration.
• Excellent analytical and problem-solving skills.
• Strong understanding of data warehousing concepts and data modelling.
• Ability to manage and prioritise multiple tasks effectively.
  
  
  

Preferred Qualifications:

• Experience with other BI tools and platforms.
• Familiarity with Python or other programming languages used in data engineering.
• Knowledge of big data technologies and frameworks.
• Certification in Azure or relevant data engineering certifications is advantageous.
  

Job Title: Junior/Senior Data Engineer

Location: Kuala Lumpur

Job Type: Full-time Contract

Job Summary:

We are seeking a skilled and motivated Data Engineer with 3 - 5 years of relevant experience to join our dynamic team. The ideal candidate will have a strong foundation in data engineering and a proven track record in Power BI, ETL processes, Automate Anywhere, Azure, Landmark EDM. This role involves designing, developing, and maintaining our data infrastructure to ensure efficient data operations and insights.

Key Responsibilities

• Data Integration and ETL: Design, develop, and manage ETL processes to integrate data from various sources into our data warehouse.
• Power BI Development: Create, deploy, and maintain Power BI reports and dashboards to provide actionable insights to business stakeholders.
• Automation: Utilise Automate Anywhere to streamline and automate repetitive data processes and tasks.
• Azure Data Solutions:Implement and manage data solutions on Azure, including data storage, data lakes, and data pipelines.
• Data Quality and Governance: Ensure data integrity, accuracy, and consistency across all data platforms.
• Landmark EDM: Apply skills in Landmark EDM to support and enhance our data management and integration processes.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver optimal solutions.
• Performance Optimization: Monitor and optimise the performance of data systems to ensure efficient data processing and retrieval.
  
  
  

Required Qualifications

• Experience: 3 - 5 years of relevant experience in data engineering or related field.
• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in Power BI for data visualisation and reporting.
• Strong experience with ETL processes and tools.
• Hands on experience with Automate Anywhere for process automation.
• Proficiency with Azure data services, including Azure Data Factory, Azure SQL Database, and Azure Data Lake.
• Experience with Landmark EDM: For data management and integration.
• Excellent analytical and problem-solving skills.
• Strong understanding of data warehousing concepts and data modelling.
• Ability to manage and prioritise multiple tasks effectively.
  
  
  

Preferred Qualifications:

• Experience with other BI tools and platforms.
• Familiarity with Python or other programming languages used in data engineering.
• Knowledge of big data technologies and frameworks.
• Certification in Azure or relevant data engineering certifications is advantageous.