Data Engineer

Key responsibilities

• Extract, transform, and load (ETL) data from various sources including databases, APIs, and log files
• Implement data quality checks and monitoring systems to ensure data accuracy and consistency
• Develop and maintain data models and data warehouse
• Collaborate with Business Analysts to understand data requirements and translate them into technical specifications
• Analyze and modify data platform systems for error correction, maintenance and development
• Maintain system quality considering user-friendliness, user experience, speed performance, and system reliability
• Conduct testing on development and maintenance outputs
• Develop and maintain software in accordance with company objectives and user requirements
• Create and maintain optimal data pipeline architecture for data integration using ETL tools such as SSIS, Pentaho, or Talend
• Build data ingestion workflows for data warehouse, data mart, and operational data store

About you

• Minimum S1 education from Information Technology, Informatics Engineering, Computer Science, or Information System with minimum GPA 3.00
• Ability to understand and analyze complex systems
• Algorithm and analysis capabilities for decision-making and problem solving
• Analysis capability to identify root causes from strategic, business, and system perspectives
• Good teamwork capability and integrity with attention to detail
• Good interpersonal, communication, and organizational skills
• Open-minded, critical, dynamic and proactive thinking
• Minimum 4 years experience working as Data Engineer in developing, maintaining and managing RDBMS including script creation, stored procedures, and SQL Query
• Experience creating and maintaining optimal data pipeline architecture for data integration using ETL tools such as SSIS, Pentaho, or Talend
• Knowledge and experience in data warehouse, data marts, operational data store, and master data management