Data Engineer

Posted:
9/1/2024, 12:19:15 AM

Location(s):
Center District, Israel ⋅ Ness Ziona, Center District, Israel ⋅ South District, Israel ⋅ Kiryat Gat, South District, Israel ⋅ Netanya, Center District, Israel

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Data & Analytics

Data Engineer

Description -

In the GTM analytics COE our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to our sales organization.

We are looking for a Data Engineer to join our Big Data engineering team. If you are passionate about data and technology, we are eager to meet you. The ideal candidate has both a willingness and desire to work in a dynamic environment, can apply Agile methodologies in day-to-day activities and is a self-motivated developer who also enjoys working in a international team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP.

A data engineer on this team will design, develop, test, modify, deploy, and document solutions, services or datasets in both local and cloud-based deployments of our Big Data infrastructure. The engineer will create solutions using current programming languages and tools and interact with team members, customers, and partners to define requirements. The engineer will also work with stakeholders and data scientists to analyze, extract, and report meaningful insights from data collected.

We offer an international experience, collaborative culture, top rate experience in AI and ML and opportunity to create significant real-world impact.

What you will do

  • Participates in analyzing requirements and high-level designs.
  • Implements, tests, and maintains software modules/data pipelines.
  • Participates in code reviews.
  • Gives input to management on task duration estimates, technical information, and issue resolution.
  • Provides domain-specific expertise and perspective to partners.
  • Develops processes for data modeling, mining, and reporting.
  • Investigate and resolve technical issues.
  • Collaborate with cross-functional teams inside and cross organization to establish data connections. 

What you will need:

  • Experienced with Data Engineering in Databricks including spark
  • 1+ years on a similar role.
  • Experienced with data modelling and data quality control
  • Experience with source control management systems such as Git.
  • Experience working in an Agile software development environment.
  • Excellent analytical and problem-solving skills.
  • Excellent written and verbal communication skills; mastery in English and local language.
  • Experience working with SQL databases (PostgreSQL is preferred)
  • Experience in working with REST API services.
  • Proficient to code using technologies like pySpark, Python, 

#LI-POST

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Israel)

Travel -

Relocation -

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).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

Hewlett Packard (HP)

Website: http://www.hp.com/

Headquarter Location: Palo Alto, California, United States

Employee Count: 10001+

Year Founded: 1939

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Computer ⋅ Consumer Electronics ⋅ Hardware ⋅ IT Infrastructure ⋅ Software