.Industrial Print SW - Data Engineer Description -HP Industrial Print SW & Solutions (IPSS)IPSS strategy is to deliver Intelligent Automation to our Industrial Print customers. A key enabler to this strategy is data. The data engineer will help define and deliver the required data products to fulfill our strategy. HP and IPSS has two platforms to build on as a foundation - PrintOS and DataOS.We are on the hunt for a skilled Data Engineer proficient in Databricks and AI/ML technologies (where data meets analytics and insights) to join our dynamic IPSS team. The ideal candidate will play a key role in designing, developing and maintaining our data architecture, data products, and enabling advanced analytics and machine learning capabilities. The candidate will collaborate closely with data scientists, analysts, and other stakeholders to help provide data products to our customers and internal applications team that are developing Intelligent Automation solutions.At the heart of HP's business strategy is Sustainable Impact across three pillars of Climate Action, Human Rights, and Digital Equity. Rooted in science, HP is recognized as one of the world's most sustainable companies. It was the only tech company globally to receive 2023 Triple "A" rating from CDP for its disclosure and progress within Climate, Water, and Forests for the 5th year in a row, among many other recognitions.Job Summary
- This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.ResponsibilitiesLeads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.Drives innovation and integration of new technologies into projects and activities in the big data space.Collaborates and communicates with project team regarding project progress and issue resolution.Represents the data engineering team for all phases of larger and more-complex development projects