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Staff Engineer, Analytics Engineering

Auburn Hills, MI, US • Posted 7 hours ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Product Management
Science
Decision-making
Partnership
Collaboration
Data Engineering
Reporting
Instrumentation
Product Planning
Leadership
Data Architecture
Dimensional Modeling
Master Data Management
Big Data
Communication
Business Analysis
Business Analytics
FOCUS
Computer Science
Data Science
Mathematics
Data Manipulation
Business Intelligence
Analytics
GitHub
Extract
Transform
Load
Python
PySpark
SQL
Apache Spark
Scala
Orchestration
Talend
Jenkins
Cloud Computing
Databricks
Amazon Web Services
Data Quality
SODA
Software Development

Summary

Your Mission:

The Global Analytics & Data Products Team is building a best-in-class analytics team in support of Stellantis' new Software Group. As an Engineer within the Analytics Engineering Team, your mission is to work alongside your peers in analytics and data, product management, and software development partners to raise data literacy and put science into decision making.

Responsibilities include:

Lead, in partnership with data consumers and our Data Engineering team, the design of our business curated data models to enable reporting of key metrics through single source of truth design
Create efficiencies in processing costs and time-to-results for all data visualizations and observational studies in Stellantis through discoverable, functional, and reliable business-curated data models
Innovate, develop and evolve resilient ETL automation frameworks to meet the needs of tomorrow's business
Proactively identifying instrumentation needs and partnering with developers to ensure implementation
Build trusted relationships with the development, product, planning and leadership teams acting as a conduit of knowledge

Top Performers will be able to demonstrate:

Comprehensive knowledge of data concepts, including data architecture, operational data stores, Interface processes, Multidimensional modeling, master data management, and data manipulation
Expert knowledge and experience with custom ETL design, implementation, and maintenance
Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
Experienced working on cross-functional teams and leading efforts to build data services from the ground up
Excellent communication skills with the ability to understand complex business problems and provide solutions

Deep product sense, with a solid understanding of user engagement

Basic Requirements:

BA/BS degree required with a technical focus - e.g., Computer Science, Data Science, Math, engineering
A minimum of 5 years of experience in data manipulation role (BI Engineer, ETL developer, analytics engineer, data analyst, data scientist, etc.)
Candidate must be familiar with SQL and GITHUB
Expert technical skills in developing and maintaining ETL jobs (python,pyspark,SQL, Spark, Scala)
Strong experience with job orchestration tooling (databricks, talend, airflow, jenkins, etc.)

Preferred Requirements:

Experience in cloud-based data environments (Databricks + AWS a plus)
Experience with implementing data quality solutions like SODA is a plus
A passion for software development and the automotive industry a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183256
Position Id: 518ae908a6da259f7139a47aeb8c22e9
Posted 7 hours ago

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