Key Responsibilities
- Design, develop, and maintain engineering data models, databases, and data architecture.
- Develop and optimise data ingestion pipelines and data integration processes.
- Perform data extraction, transformation, enrichment, and migration.
- Develop and maintain APIs, SQL queries and database structures.
- Implement data quality checks, validation and governance standards.
- Support OCR and AI/ML-based data extraction and processing solutions.
- Perform engineering data mapping, standardization, and synchronization.
- Conduct system testing, troubleshooting, documentation, and continuous improvement.
Qualifications & Experience
- Bachelor's Degree in Computer Science, Information Technology, Software Engineering, Data Engineering, Data Science or a related field.
- Minimum 2–5 years of relevant working experience in data engineering, database management or data integration.
- Experience in developing and maintaining data pipelines, ETL/ELT processes and data integration solutions.
- Experience working with large datasets, relational databases, and data modelling.
- Experience in the Oil & Gas or Engineering industry would be an added advantage.
Technical Skills
- Proficient in SQL and database management (e.g. Microsoft SQL Server).
- Knowledge of Python or other programming languages for data processing and automation.
- Familiarity with data modelling, ERD, database normalisation and data architecture.
- Experience with API integration, data ingestion and data transformation.
- Knowledge of cloud storage and data platforms (e.g. Microsoft Azure Blob Storage).
- Understanding of data governance, data quality management and data standardisation.
- Familiarity with OCR, AI/ML-based data extraction and document processing would be an advantage.
Pay: RM4,500.00 - RM8,500.00 per month
Benefits:
Work Location: In person