Senior Data Engineer

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HP

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Job Summary


Job Type
-

Seniority
Senior

Years of Experience
Information not provided

Tech Stacks
Python SQL NoSQL Spark Databricks Apache Pandas Dataiku Analytics

Job Description

In the Center of Excellence Pricing and Analytics organization our mission is to deliver impact by building machine learning products to optimize pricing, sales, marketing and inventory investments and provide guidance to HP's commercial sales organizations. The organization consists of a diverse global team of economists, statisticians, data scientists, data engineers, software engineers, DevOps, and MLOps engineers, who are pushing the innovation frontier to bring new insights to our business.

We are looking for a Senior Data Engineer 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.

Qualifications

  • Typically 4+ years of experience in software or data engineering.
  • Extensive experience 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 โ€“ advantage).
  • Experienced with Apache Spark
  • 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
  • Dataiku
  • Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.


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