Data Engineer – TechPulse Insights

Key Skills

Java Programming, Python Programming, SQL, Scala Programming, SPARK Programming, Databricks

Job Description

HP Inc. is one of the world’s most prolific technology businesses and brands. Our company’s vision is to create technology that makes life better for everyone, everywhere. HP Inc. was reborn in 2015 as a worldwide leader in personal systems and printing, with a legacy of innovation and the heart of a start-up.

Techpulse Insights team is responsible for delivering a broad range of software capabilities, including generating actionable insights from business data, increasing operational efficiency with automation, and building breakthrough experiences for HP products and services. These products will connect with millions of HP PCs and Printers to collect data and create manageability solutions.

We are looking for a talented Data Engineer who can bring advanced subject matter knowledge to solve complex business issues. In this role, you will work on complex, interesting problems, where analysis of situations or data requires an in-depth evaluation of multiple factors. We'd love for you to lead and/or provide expertise to functional project teams, and you may also participate in cross-functional initiatives.

Your role will also be key to providing direction and guidance to process improvements. You will have the opportunity to work with a number of external clients, helping to provide them with effective solutions and insights. We'll trust you to utilize significant independent judgment within broadly defined policies and practices, including determining the best method for accomplishing work and achieving objectives. We'd love for you to also use your deep experience to occasionally help mentor and guide less experienced employees.

Key skills will by Python, Scala, and Databricks Spark, as applied in a data engineering capacity. If you love data engineering as much as we do, we'd love to learn more about you!

Responsibilities

• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Communicates and drives data insights/innovation into the business.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.
• Strong Scala, Python programming experience is a must
• Databricks Spark experience

Knowledge & Skills

• Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English and local language.
• Ability to effectively communicate data insights and negotiate options at senior management levels.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
• Leads multiple projects requiring data engineering solutions development.
• Drives design innovation.

Education & Experience

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• 8-12 years of professional experience