Data Engineering

gmscatharines.ca

São Caetano do Sul, SP, Brazil
**
Design and maintain scalable data pipelines
Etl/elt processes using python, sql, and spark
Develop curated, production-grade datasets
** GM is seeking a Data Engineer for their São Caetano do Sul location, who will design and maintain scalable data pipelines to support various business lines. The role requires strong technical skills in data processing and cloud platforms, alongside collaboration and communication abilities. **

Job Summary

  • As a part of data engineering in Digital Services and Experience, you will design and maintain scalable data pipelines and curated data products that enable GM to deliver future-focused, consumer-centric solutions.
  • You will support multiple lines of business by ensuring reliable, high-quality data is available for decision making and advanced analytics.
  • General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

Matching Summary

Match Score: 75

** GM is seeking a Data Engineer for their São Caetano do Sul location, who will design and maintain scalable data pipelines to support various business lines. The role requires strong technical skills in data processing and cloud platforms, alongside collaboration and communication abilities. **

Skills & Requirements

Must-have

  • Design and maintain scalable data pipelines
  • ETL/ELT processes using Python, SQL, and Spark
  • Develop curated, production-grade datasets
  • Implement data quality checks and monitoring
  • Work with cross-functional teams
  • Experience with big data frameworks
  • Cloud platforms (Azure or AWS)

Nice-to-have

  • Consumer-centric solutions
  • Future-focused
  • Process optimization
  • Metadata and data standards management
  • Belong to one General Motors team

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field
  • Fluency in English language
  • Strong experience with big data and processing frameworks (e.g., Spark, Hadoop, Kafka)
  • Advanced SQL skills and experience with relational and NoSQL data stores
  • Proficiency in Python and experience with Databricks, Spark, and Git/GitHub
  • Practical experience working with large-scale event or customer data
  • Demonstrated ability to identify tasks for automation

Work Rights

Not specified

Tailored Resume

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