Data Engineer - Intermediate

1 Week ago • 2 Years + • Data Analyst

About the job

SummaryBy Outscal

Must have:
  • Create/Maintain ETL pipelines
  • Optimize processes
  • Model big data using Spark
  • Database architecture, design & implementation
  • Python/PySpark/Scala/Spark experience
  • SQL & NoSQL database experience
  • Agile experience
Good to have:
  • Databricks platform experience
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Data Engineer - Intermediate

Description -

Position background:

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.

As a Big Data Engineer, you will be in a unique position to support the development one of our internal assets. You will work together with the project and asset team to understand the end state in which the data must be delivered and you will model the data using Big Data technologies like Spark.

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

Responsibilities:

  • Create / Maintain ETL pipelines.

  • Ensure that processes are optimized.

  • Use Spark to model big volumes of data.

  • Contribute to the database architecture, design and implementation. 

Requirements:

  • Bachelor’s in computer engineering, Computer Science, Electrical Engineering, Robotics or a related field

  • 2+ years on a similar role.Ability to work independently under a fast-paced environment, comfortable to deliver results under pressure.

  • You have strong problem-solving skills including Agile experience.

  • Experience with modern application life-cycle management tools (Git, Visual Studio, Intellij, Code Reviews).

  • Proficient in at least one of the following languages: Python, PySpark, Scala, Spark, SparkR.

  • Experience with SQL & NoSQL databases is preferred (PostgreSQL, MongoDB, Elastic Search).

  • Experience in working with Databricks platform.

  • Strong analytical skills with demonstrated problem solving ability. 

#LI-POST

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

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

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About The Company

Our vision is to create a world where innovation drives extraordinary contributions to humanity. This vision guides everything we do, how we do it, and why we do it.

Our technology – a product and service portfolio of personal systems, printers, and 3D printing solutions – was created to inspire our vision and we are doing everything in our power across climate action, human rights, and digital equity to make it so.

We believe thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.

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