Jobs
Required Skills
Databricks SQL
PySpark
Python
Teradata SQL
GitHub
GitLab
CI/CD
ETL design
AI/ML
As a part of the AI & Data Platform organization, the Enterprise Business Intelligence (EBI) team is central to NXP’s data analytic success, providing and maintaining data solutions, platforms and methods that enable self-service business creation of solutions that drive the business forward.
Data Engineers within EBI have responsibilities across solution requirements, design, delivery and support. In this role you will work with Product Owners and Architects to design, build and maintain ETL/ ELT pipelines, data pipelines and jobs, combining data from multiple source systems into one or multiple target systems.
Solutions delivered must adhere to EBI and IT architectural principles pertaining to capacity planning, performance management, data security, lifecycle management and regulatory compliance. Assisting the Operational Support team with analysis and investigation of issues is also expected, as needed.
- Required Skills and Qualifications
- Proven experience as full stack developer
- Experience in Databricks SQL, Py Spark, Python, Teradata SQL
- Experience with GitHub, GitLab, CI/CD
- Hands on experience in ETL design and development concepts (5+ years)
- Knowledge of advanced analytic concepts including AI/ML
- Demonstrated ability to be a self-learner
- Strong collaborative and relationship-building skills
- Demonstrated ability to deliver results
- Excellent oral and written communication skills
- Must be focused, self-directed and good at managing the work
- A disciplined approach to problem solving
Preferred Skills & Qualifications:
- Experience with Agile / DevOps
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About NXP Semiconductors
Reviews
3.9
44 reviews
Work Life Balance
3.8
Compensation
3.9
Culture
4.1
Career
3.6
Management
3.8
73%
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Pros
Competitive compensation and benefits
Good work-life balance and flexible environment
Interesting projects and challenges
Cons
Room for improvement in processes
Work-life balance varies by team
Internal communication could improve
Salary Ranges
267 data points
Junior/L3
L3
Junior/L3 · Data Scientist
0 reports
$114,000
total / year
Base
$99,000
Stock
-
Bonus
$15,000
$96,900
$131,100
Interview Experience
42 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 69%
Neutral 13%
Negative 18%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
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