Sime Darby Property Berhad is seeking a skilled Data Engineer to join our dynamic team within the accounting industry. As a key player in our organization, you will be responsible for designing, implementing, and maintaining robust data pipelines and systems that will drive insightful analyses and support critical decision-making processes. Your role will involve collaborating with cross-functional teams to gather and process large volumes of financial data, ensuring its accuracy and accessibility. In this position, you'll leverage your expertise in data architecture and engineering to develop innovative solutions that enhance data quality and integrity. You will also play an essential part in data governance and security, safeguarding sensitive financial information. The ideal candidate will have a strong foundation in data modeling and ETL processes, along with experience in database technologies. This is an exciting opportunity to contribute meaningfully to our company's growth and success through data-driven innovations. Join us at Sime Darby Property Berhad and be a part of a forward-thinking organization that values innovation and excellence in the accounting sector.
Responsibilities
- Design and develop scalable data pipelines for extracting, transforming, and loading financial data
- Collaborate with accounting teams to identify data requirements and reporting needs
- Ensure the integrity, accuracy, and security of financial data across various platforms
- Implement data governance standards and best practices to manage data lineage and quality
- Optimize data storage and retrieval processes to enhance system performance
- Work with data scientists and analysts to support their data needs and analytics initiatives
- Monitor and troubleshoot data pipeline issues, implementing timely resolutions
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer, particularly in an accounting or finance context
- Strong proficiency in SQL and experience with relational databases
- Familiarity with ETL tools and data pipeline technologies
- Knowledge of cloud-based data storage solutions and big data technologies
- Understanding of data governance principles and data security practices
- Excellent problem-solving skills and the ability to work with large datasets
Benefits
- Competitive salary and annual performance bonus
- Flexibility to work from home or office
- Comprehensive health insurance and retirement plans
- Opportunities for professional development and career growth
