SAP

Senior Data Engineer - Generative AI and Knowledge Graphs

SAP

Palo Alto, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are looking for a passionate and motivated Senior Data Engineer to join the Generative AI and Knowledge Graphs team at SAP. This is an exciting opportunity to work with the latest technologies and develop innovative solutions for our customers. The ideal candidate for this role will have a strong technical background with a Masters in Data Science, Computer Science, or related field, and a minimum of five years of experience in a similar role. Furthermore, they will have a proven track record of working with knowledge graphs, graph databases and generative AI. This individual should also have extensive experience with distributed computing, data storage, data modeling and data engineering.We are looking for someone with strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work well in a team environment. A creative and innovative approach to problem solving is essential, as is the ability to work in a fast-paced and dynamic environment. The successful candidate will also need to have the initiative to take ownership of projects and be comfortable working with minimal supervision.

Responsibilities:

  1. Design and develop data architecture for knowledge graphs, graph databases and generative AI.
  2. Build and maintain data pipelines for data storage and distributed computing.
  3. Analyze and optimize data models and data engineering processes.
  4. Develop innovative solutions to meet customer needs.
  5. Collaborate with other team members to create effective solutions.
  6. Utilize strong analytical and problem-solving skills to troubleshoot and identify solutions.
  7. Assist in the development and implementation of data strategies.
  8. Monitor data quality and integrity.
  9. Ensure data security and privacy regulations are adhered to.
  10. Keep up to date with the latest industry trends and technologies.
Where is this job?
This job is located at Palo Alto, CA, USA
Job Qualifications
  • Python

  • Software Engineering

  • Or Related Field

  • Bachelor's Degree In Computer Science

  • Data Modeling

  • And Other Programming Languages

  • + Years Of Experience With Data Engineering In An Enterprise Environment

  • Proficiency With Data Analysis

  • And Data Visualization Tools

  • Experience With Generative Ai And Knowledge Graphs Technologies

  • Familiarity With Sql

  • Demonstrated Experience With Big Data Systems Such As H

Required Skills
  • Sql

  • Python

  • Big Data

  • ETL

  • R

  • Machine Learning

  • Hadoop

  • Kafka

  • Data warehousing

  • Data Visualization

  • Automation

  • Cloud Computing

  • Spark

  • Data Mining

  • AI

Soft Skills
  • Communication

  • Conflict Resolution

  • Decision Making

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Data Engineer - Generative AI and Knowledge Graphs in Palo Alto, CA, USA is $153,945 to $189,639 per year. This salary range is based on data from various sources, including JobzMall's salary survey, user-submitted salaries, and third-party salary data. This range is also subject to change based on market conditions, job experience, and other factors.

Additional Information
SAP is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 13th, 2023
Apply BeforeJuly 20th, 2025
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About SAP

SAP is a multinational software company based in Walldorf, Baden-Württemberg. It develops enterprise software to manage business operations and customer relations. The company is the world's leading enterprise resource planning (ERP) software vendor.

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