HP | Jobs | Data Engineer | BigDataKB.com | 02-04-22

About Print Analytics

As part of HP’s R&D Center, the Print Analytics Team works closely with our GBU partners across multiple domains. We provide data-driven actionable insights to influence business decisions.

The Print Analytics Team seeks to deliver insightful analysis derived from a thorough understanding of the data, business & customer environment, utilizing business intelligence tools and advanced analysis methods, as needed.

Business Environment

Our team partners closely with the Instant Ink organization to deliver analytics and insights on our program and partner performance. The Instant Ink program is a ink & toner subscription model offered by HP to its home and SMB customers, in which customers select from different page plans and ink / toner gets home delivered to them as and when their printer detects they are running out of supplies.

In order to manage channel contra payment, we are looking for a high caliber full stack Data Engineer who can work in close collaboration with cross-functional and cross-regional teams and help efficiently program manage contra payment.

Key responsibilities:

• Close collaboration with Instant Ink team to understand and internalize the program challenges and opportunities, in order to enable translation of business needs to technical requirements and roadmaps
• Develop a thorough understanding of the retail partner relationships and dependencies that drive and influence the Instant Ink business performance
• Complete familiarity with the existing BI systems, retailer compensation processes, data stack, data sources (internal and external), dashboards, and analysis
• In time, own the technical responsibilities for the E2E data stack related to the I-Ink compensation program (data engineering, front end development, analytics onboarding and delivery, etc.)
• Work with team to develop and manage cloud-based web portal that provides payment processing of retailer channel partners
• Work with team to design, implement and maintain Java applications (Front end as well as backend code) with core responsibilities on backend data processing
• In time, program manage the data systems development roadmap aimed at continuous improvement – e.g. adapting to the newer technologies, developing POCs, team management of roles and responsibilities, etc.
• Analyze, design and determine coding, programming, and integration activities required based on specific objectives and established project guidelines.
• Execute and write portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.
• Deliver automation capabilities for data mining and reporting, and to improve analytics delivery
• Participate as a member of a project team with other engineers, data science & business professionals to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
• Collaborate and communicate with project team regarding project progress and issue resolution.
• Be creative and a thought leader in developing data solutions for newer business challenges as HP forays into newer spaces.

Education and Experience Required:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent.
• 6-8 years of experience in Data Engineering, Exposure to AWS Big Data Platform
• 2-3 years of experience in building Java based Application, front end UI

Qualifications and key skills required:

• Using data engineering tools, languages, frameworks to cleanse, mine and explore data
• Understanding of database technologies, management systems, and cloud-based systems/services.
• Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
• Fluent in programming and automating repetitive tasks – preferably using Knime/Nifi/Airflow
• Proficient in R/Python scripting, SQL programming languages experience
• Experience with AWS big data systems, PySpark, and Apache NiFi, ETL is a plus
• Working experience in Java 8 or higher, Hibernate and Spring MVC is a plus
• Strong written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate design proposals and negotiate options.

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