Data Engineer Sales compensation

Description -

This role is responsible for the end-to-end data engineering ownership of sales compensation data including data collection transformation validation and analysis from primary and secondary data sources. The role ensures data integrity accuracy and compliance by implementing data cleansing automated validations and reconciliation processes that support sales compensation algorithms and reporting. The role performs root-cause analysis and recommends or executes corrective actions when data-related system issues impact compensation or sales outcomes. The role applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate technical alternatives.

Responsibilities

Designs and establishes secure and performant data architectures enhancements updates and programming changes for portions and subsystems of sales revenue and sales compensation data pipelines repositories or models for structured and unstructured data.

Analyzes design and determines coding programming and integration activities required based on general objectives and knowledge of overall architecture with specific focus on sales compensation algorithms and related business rules.

Writes and executes complete testing plans protocols and documentation for assigned portion of data system or component including validation and reconciliation of sales compensation calculations; identifies and debugs and creates solutions for issues with code and integration into data system architecture.

Leads a project team of other data engineers to develop reliable cost effective and high-quality solutions for assigned sales compensation data systems models or components.

Collaborates and communicates with project team and cross-functional stakeholders (Sales Finance Sales Operations) regarding project progress compensation logic changes and issue resolution.

Analyzes data inaccuracies impacting sales and compensation outcomes identifies opportunities and supports the development of automated data quality controls and monitoring to enhance overall quality of the enterprise data.

Identifies problematic areas within sales and revenue datasets and conducts research to determine the best course of action to correct the data; identifies analyzes and interprets trends and patterns in complex compensation-related datasets.

Works cross-functionally with different departments to assess define and develop report deliverables and data models supporting sales performance and compensation reporting.

Represents the software data engineering team for all phases of larger and more-complex development projects related to sales performance compensation and revenue data platforms.

Provides guidance and mentoring to less experienced staff members on data engineering best practices data quality and compensation data pipelines.

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.
47 years of work experience preferably in data analytics data engineering data modeling

Preferred Certifications

Programming Language/s Certification (SQL Python or similar)

Knowledge & Skills

DataBricks
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
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

What we offer

• Opportunity to work in an international organization with colleagues coming from all over the world.
• Diverse continued internal growth and career opportunities. Including HPs own learning platform and LinkedIn Learning.
• An attractive benefits package:
  • Health & Life insurance.
  • Lunch at reduced prices at our canteen/ ticket restaurant vouchers.
  • HP product discount.
• Work life balance / flexible working hours.
• Women Pride Young employees Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities including our onsite HP Charity day.
• Do you like to give back to the community Then join one of our many volunteering teams or be a part of the incredible HP charity day held onsiteannually.
• Love sports Then take advantage of our sports center (indoor and outdoor) with 25 regular coordinatedactivities.
• We have an onsite Doctor and medical team for our employees including services such as: nutrition physiotherapy and general health.
• Printing Happy hour from photographs to large posters. And Hands-onworkshopsto print with the latest technology from wall covers to 3D printed models.
• Our Women Network organizes activities such as Networking the promotion of STEM vocations talks on improving business acumen work life balance and skills of the future etc.

Sales & Services Entity

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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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal