Data Engineer

Data Engineer Description - Job Summary The Expert Data Engineer is a recognized subject‑matter expert who applies advanced data engineering and IT Operations Management and Use Case Enablement expertise to solve complex monitoring, diagnostics, and remediation challenges at the device and fleet level. Working within a global team of delivery architects and cross‑functional engineers, the role designs and operates data pipelines and analytics that enable proactive troubleshooting, accurate root‑cause analysis, and effective resolution of hardware, software, and configuration issues.

The role brings strong understanding of endpoint telemetry, device hardware, and IT operations best practices, and knows how to translate business problems into outcome‑driven use cases aligned to customer and IT leader priorities such as stability, risk reduction, compliance, and cost optimization. It also contributes to monthly and quarterly operations reporting, ensuring insights and remediation outcomes are clear, actionable, and focused on measurable business value.

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. • 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.

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (India) Travel - 25% Relocation - No Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s   EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "