CLIENT:
Our client is one of the biggest global energy company awarded as HR Asia Best Companies to Work for in Asia.
JOB DESCRIPTION
- Develop jobs for ingestion of SAP and/or other ERP data (e.g. JDE) into the lake
- Develop jobs for ingestion of lake data into S/4HANA
- Contribute in operationalizing SAP and/or other ERP system data into the lake, S/4HANA
- Ensure accuracy, consistency, replication, and governance of master data across the organization, where activities would involve creation and maintenance of workflows, data modeling and quality checks
- Understanding the business use of data and the stakeholders’ requirements to support work processes and strategic business objectives
- Leverage data and software engineering techniques, data science to create business value through data accessibility (includes data ingestion, data preparation and analytics processing)
- Identifying, acquiring, cleansing/preparing, storing data and developing reusable data products aligned with defined architecture patterns
- Enabling data scientists, making data available for advanced analytics models, and contributing to advanced analytics models
- Working with data analysts and architects to scale and deploy solutions including models, documentation, training, integration
- Working with ML Engineers to scale and deploy solution including models, documentation, training, integration
- Contributing to the inner source development of foundational tools, and/or the deployment of technical services
JOB QUALIFICATION
- BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience
- At least 3 years of ETL experience and has performed development work on SAP Data Services (BODS) and/or
- Master Data Governance involving different SAP modules
- Knowledge in the Oil & Gas industry
- ERP, SAP and/or JDE Functional experience or domain knowledge
- Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: SAP Data Services (BODS),
- SAP Landscape Transformation Replication Server (SLT), Azure Data Factory (ETL), Azure Data Lake
- Proven years of experiences to adopt software engineering practices in managing data products
- Analytical thinking, consulting, critical thinking
- Should be willing to work on a night shift
ACTIVE DATES
Urgent hiring!
