Senior Data Engineer & Tech Lead

HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations, and dreams. We apply new thinking and ideas to create simpler, more valuable, and trusted experiences with technology, continuously improving the way our customers live and work.

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning (ML) products to optimize pricing, marketing investments and provide guidance to sales and other HP teams.

We are looking for a Senior Data Engineer (Data Engineer 3 - Specialist) to join our data engineering team. If you are passionate about solving problems and making improvements through data and technology, we are eager to talk to you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and is a self-motivated developer who also enjoys working in a team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP.

The data engineer applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues.

Qualifications

• 3+ years of experience in software or data engineering.
• Proficient in data modeling, data integration and processing of structured and unstructured data.
• Proficient in one or more programming languages (Python preferred).
• Strong SQL proficiency (experience with NoSQL – advantage).
• Experienced with Apache Spark / pyspark
• Excellent communication skills; mastery in English and local language.
• Ability to effectively communicate product architectures, design and change proposals.

Additional preferred qualifications / advantages

• Databricks
• Pandas
• Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.
• Dataiku DSS