Industrial Print SW - Data engineer (hp)

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.

Responsibilities
• Leads 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.
JOB IS FROM: italents.netVIEW• 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.
• Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
• Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
• Builds and manages relationships throughout the organization.
• Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills
• Agile Methodology
• Amazon Web Services
• Apache Hadoop
• Apache Kafka
• Apache Spark
• Big Data
• Computer Science
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Python (Programming Language)
• Scala (Programming Language)
• Scalability
• SQL (Programming Language)

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

The base pay range for this role is $118.050 to $181.800 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits in the US:

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.