We are looking for a talented Spark Data Engineer, to join a great team at HP! In this role, you'll bring advanced subject matter knowledge to solve complex business issues, and we'll look to your Spark data engineering subject matter expertise! In this role, you will frequently contribute to the development of new 
ideas and methods. You will also get to 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 provide expertise to functional project teams, and you may also participate in cross-functional initiatives.

 

Responsibilities

  • Designs limited enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
  • Ability to work as a Big Data Engineer as an individual contributor or team player. 
  • Mines data using modern tools and programming languages. 
  • 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 

  • Hands-on experience on Big Data frameworks like Spark, Hive using Scala or Python 
  • AWS services – Redshift, Athena, EMR, DocumentDB, S3 
  • Basic knowledge of AI & Data Science 
  • Exposure to CI/CD pipeline & Github. 
  • Experience in ETL, Data Lake and Data warehouse pipeline. 
  • 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 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.

 (This position allows 100% remote work, from any location in the United States. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future)

 

 

 

Where legally permitted, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID-19 (as defined by the CDC) as of your first day of employment.

 

HP is an equal opportunity employer: https://tbcdn.talentbrew.com/company/3544/v1_0/PDFs/HP%20Inc%20EEO%20Policy%20Statement%202017_Final_signed.pdf

 

HP offers a comprehensive benefits package, including:

  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance

 

In accordance with Colorado statute, the estimated range of compensation for this job in that location, at the time of this posting, is $90-110,000.  This position may be eligible for incentive pay, for openings where this is applicable.

 

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Technical Skills
Is a Remote Job?
Remote
Employment Type
Full time

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