Service Data Engineer

Service Data Engineer

Description -

This role is responsible for potentially leading data engineering efforts for projects, supporting application projects, and ensuring smooth integration of deliverables. The role owns database incidents and problems, engages in database development and maintenance, and plays a vital role in ensuring database security and accuracy. The role collaborates with subject matter experts for resolving complex incidents and addressing gaps in data collection and modelling. The role also contributes to documentation, data modeling, analysis, and knowledge sharing, while solving problems independently within company guidelines.

Responsibilities
• Supports application projects, potentially serving as the data engineering lead for small projects and ensuring seamless integration of the deliverables with other project outcomes.
• Engages in database development and maintenance activities, including designing database environments, modifying, testing, releasing/deploying, and maintaining straightforward database objects.
• Ensures the upkeep of database security and audit trails, while also assisting in executing or testing database recovery and monitoring databases.
• Takes ownership of database incidents and problems, providing resolutions for moderately complex incidents, and involving subject matter experts to address more complex incidents.
• Assists in DBMS software patching or upgrades, performing tasks in adherence to designated work plans, checklists, and processes.
• Creates analytics tools utilizing the data pipeline, delivering insights into customer acquisition, operational efficiency, and key performance metrics.
• Collaborates with stakeholders to grasp business goals and the role of data in achieving them, identifying gaps in data collections and proactively addressing them.
• Generates and maintains logical and physical data models for simple databases and projects, while also participating in formal data modelling reviews.
• Develops conclusions, recommendations, and written reports, contributing proactively through research and data analysis support, and sharing knowledge to foster a knowledge management culture.
• Works independently on moderate scope problems, applying professional expertise, exercising judgment, and resolving various issues by following company policies and procedures.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics, Machine Learning, Data Analytics, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 2-4 years of work experience, preferably in analytics, data science, reporting, or a related field or an advanced degree with little or no work experience.

Preferred Certifications
• Data Analytics Certifications

Knowledge & Skills
• Tableau

• PowerBI

• ServiceNow

• Agile Methodology
• Apache Spark
• Automation
• Big Data
• Computer Science
• Data Analysis
• Data Architecture
• Data Engineering
• Data Modeling
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• NoSQL
• Python (Programming Language)
• Scalability
• Software Engineering
• SQL (Programming Language)

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

Impact & Scope
Impacts immediate team and acts as an informed team member providing analysis of information and limited project direction input.

Complexity
Responds to routine issues within established guidelines.

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 $73,600 to $104,900 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:

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.

Job -

Services

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

No

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement