Applies intermediate level of subject matter knowledge to solve a variety of common business issues. Works on problems of moderately complex scope. Acts as an informed team member providing analysis of information and limited project direction input. Exercises independent judgment within defined practices and procedures to determine appropriate action. Follows established guidelines and interprets policies. Evaluates unique circumstances and makes recommendations.

　　Responsibilities

　　Designs limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.

　　Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines.

　　Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application; identifies and debugs issues with code and suggests changes or improvements.

　　Participates as a member of a project team of other data science professionals to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.

　　Collaborates and communicates with project team regarding project progress and issue resolution.

　　Knowledge & Skills

　　Using data engineering tools, languages, frameworks to cleanse, mine and explore data.

　　Understanding of NoSQL & relational based systems along with complex, distributed and massively parallel systems.

　　Ability to apply analytical and problem-solving skills.

　　Ability to understand complex data structures.

　　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.

　　Strong written and verbal communication skills; mastery in English and local language.

　　Ability to effectively communicate design proposals and negotiate options.

　　Scope & Impact

　　Collaborates with peers, junior engineers, data scientists and project team.

　　Typically partners with high-level Individual Contributors and Managers.

　　Supports projects requiring data engineering solutions expertise.

　　Education & Experience

　　Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent.

　　Typically 2-4 years’ experience.

　　About HP

　　You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

　　So

　　are we. We love taking on tough challenges, disrupting the status quo,

　　and creating what’s next. We’re in search of talented people who are

　　inspired by big challenges, driven to learn and grow, and dedicated to

　　making a meaningful difference.

　　HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

　　Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.

　　From the boardroom to factory floor, we create a culture where everyone is

　　respected and where people can be themselves, while being a part of

　　something bigger than themselves. We celebrate the notion that you can

　　belong at HP and bring your authentic self to work each and every day.

　　When you do that, you’re more innovative and that helps grow our bottom

　　line. Come to HP and thrive!

　　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).