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Data Engineer
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You will be working as a Technical Data Engineer, partnering with stakeholders to consume different data types and extractions that need to be normalized. To succeed in this role, you should have a good appreciation of BPMN methodology and be prepared to collaborate with Value Engineers to translate data insights into realized value.
Key Responsibilities- Run data extracts from various sources and systems using SAP Signavio and other tools.
- Prepare mapping of data and ensure data quality and integrity.
- Produce data views and dashboards that visualize process performance and identify improvement opportunities.
- Conduct data engineering analysis and provide recommendations based on data insights, including writing Python scripts for data cleansing, creating SQL queries for data transformation, and Signal queries for creating Dashboard/widgets.
- Cooperate with other data engineers, analysts, and consultants to deliver data-driven solutions for clients.
- Document data processes and procedures and maintain data standards and best practices.
- Bachelor's degrees in computer science, statistics, and/or math are preferred.
- At least 5 years of experience in data engineering, process mining, or related field.
- Fluent in process mining and data engineering analysis techniques and methodologies.
- Strong technical skills and proficiency in SAP Signavio and other data tools.
- Experience with coding languages including but not limited to Python, Java,.NET, VBA, Excel Macros & SQL.
- Experience in creating data views and dashboards using SAP Signavio or other visualization tools.
- Excellent communication, problem-solving, and analytical skills.
- Ability to work independently and in a team environment.
- Experience with process re-engineering, automation across various process domains.
Hewlett Packard is a global leader in technology and innovation. As a Technical Data Engineer, you will be part of a dynamic team that is shaping the future of data engineering and process mining. If you are passionate about data, technology, and process improvement, this is an exciting opportunity to join our team and contribute to our mission of delivering data-driven solutions for our clients.