Data Engineer, Enterprise Financial Services
Full time
at ResMed Inc
in
Malaysia
Posted on December 23, 2024
Job details
Data Engineer, Enterprise Financial Services
Apply Locations: Kuala Lumpur, Malaysia Time Type: Full time Posted on: Posted 30+ Days Ago Job Requisition ID: JR_035774 The Finance team’s goal is to be a trusted and collaborative partner to all the businesses and functional teams that we work with, bringing business acumen, financial expertise and insights to aid decision-making and deliver value to our stakeholders. We strive to generate value through providing specialist advice and making recommendations to optimize decision making, delivering transparent processes and implementing governance and controls to mitigate risk. Let's talk about Responsibilities- Works with Business Analysts and Business Application Owner to translate business requirements and use cases into technical and data requirements.
- Identifies all the source system tables and fields that need to be brought into Celonis.
- Extracts, transforms and loads all source system data needed for each process implemented within Celonis.
- Builds the Celonis data model for each process.
- Collaborates with relevant business experts to validate the data within Celonis.
- Monitors and optimizes the performance of all data queries to ensure ideal response times.
- Documents all technical and data requirements and all extract, transform, load (ETL) work.
- Remains up to date with industry standards and technological advancements that will improve data reliability, efficiency and quality.
- Provides ongoing support for any data-related issues.
- Present implementation progress and results to senior executives and business teams.
- Leads business value workshops with process improvement and business teams and uses Celonis to identify and qualify opportunities for operational and process improvements.
- Documents Celonis implementations and builds a library of use cases.
- Manages and prioritizes all incoming requests for Celonis enhancements.
- Supports and enables end users.
- Degree qualification in Data/Computer Engineering or related discipline with at least 3 years relevant working experience.
- Proficiency in SQL coding.
- Extensive experience in ETL processes.
- Strong experience with relational databases and data modeling.
- Python skills.
- Solid understanding of the data structures of core enterprise systems (e.g., ERP, CRM).
- Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
- Strong communication skills and people skills.
- Strong analytical skills, especially in applying technology solutions to core business problems.
- Proficiency in leading and facilitating workshops and executive meetings.
- Previous experience in process improvement, business analysis or technology consulting preferred.
- Experience working in a Shared Services or MNC environment is a plus.
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