Data Engineer

Data Engineer

Description -

Job Description:

We are looking for a Data Engineer to join HP Inc. If you are passionate about data-driven problem-solving, optimizing data workflows, and leveraging cutting-edge technologies to drive business impact, we would love to hear from you. The ideal candidate thrives in dynamic environments, is proficient in big data technologies, and can work both independently and collaboratively to design and implement scalable data solutions.

This role offers the opportunity to work with large-scale data systems, cloud-based platforms, and advanced analytics tools to drive monetization strategies and business intelligence at HP.

Main Responsibilities:

· Design, build, and maintain scalable ETL pipelines to process and analyze large datasets across millions of devices.

· Develop and optimize data integration workflows, enabling enriched device-level metadata for targeted marketing campaigns.

· Work with structured and unstructured data, implementing data modeling, transformation, and preprocessing techniques.

· Leverage Python, SQL, Databricks, and Apache Spark for data exploration, mining, cleansing, and transformation.

· Develop and maintain big data solutions on cloud platforms like AWS and Azure (e.g., COSMOS DB, Redshift, Athena).

· Conduct A/B testing, statistical analysis, and hypothesis testing to improve user engagement and business KPIs.

· Build and optimize dashboards and visualizations using Power BI, Tableau, and other business intelligence tools.

· Collaborate with data scientists, analysts, and business stakeholders to translate data insights into strategic actions.

· Follow Agile development methodologies and leverage CI/CD pipelines, version control (Git), and test automation.

Requirements:

• Typically has 4-7 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field or an advanced degree with 3-5 years of work experience.

· Programming: Proficiency in Python and SQL

· Big Data & Cloud: Hands-on experience with Databricks, Apache Spark, AWS (Redshift, Athena), and Azure (COSMOS DB).

· Data Processing: Strong skills in ETL pipelines, data integration, and transformation of large datasets.

· Analytics & Visualization: Experience with Power BI, Tableau, and Adobe Analytics for reporting and insights.

· Testing & Optimization: Knowledge of A/B testing, statistical analysis, and hypothesis testing to improve business outcomes.

· Software Engineering Best Practices: Experience with Git, CI/CD, Agile methodologies, and automated testing.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

Relocation -

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