Job Description

• Provide data integration (including cloud) following PETRONAS standard and architecture in a standardize manner.
• Provide data ETL/ELT between multiple data layers in PETRONAS Enterprise Data Hub (EDH).
• Develop, construct, test and maintain data architectures, set or model based on business requirement.
• Support and solve integration issues, either at application level or infra and network level,
• Identify the bottlenecks in the existing data pipelines, propose and lead the efforts to optimize and automating the data pipeline works.
• Leverages on variety of programming languages & data crawling/processing tools to ensure data reliability, quality & efficiency.
• Ensures lake architecture is following company’s approved architecture.
• Employ tools and techniques used to understand and analyze how PETRONAS should collect, update, store and exchange data.
• Define and employ data modeling and design standards, tools, best practices, and related development methodologies.
• Designs, reviews and maintains data models.
• Performs the data analysis activities to capture data requirements and represent them in data models visualization.
• Manages the life cycle of the data model from requirements to design to implementation to maintenance.

Job Requirements

• Degree in IT, Computer Science or any related field.
• Minimum 3 years of being in senior data engineer role.
• Minimum 3 years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
• Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI.
• Experience in database query using SQL.
• Experience in Cloud Data-related tool (Microsoft Azure, Amazon S3).
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
• Experience in team management, communication, and presentation.
• Experience in data modeling data solutions including but not limited to Erwin Data Modeler Data Warehouse or equivalent knowledge.

Additional Info