Senior Data Engineer:
Experience: 6+ Years
Role Summary
We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub while supporting analytics, reporting, and AI-driven data products.
The role will work closely with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, and high-performance data solutions.
Required Technical Skills
Google Cloud Platform (GCP)
Strong hands-on experience in:
- BigQuery (advanced optimization and tuning)
- Dataflow (batch & streaming pipelines)
- Dataform (SQL-based transformations)
- Pub/Sub (event-driven architectures)
- Cloud Storage (GCS)
- Dataplex / Data Catalog
- Analytics Hub (data sharing)
- Cloud Monitoring & Logging
- IAM & Security controls
Data Engineering
- Batch and streaming data processing
- ETL / ELT pipeline design and implementation
- Data ingestion frameworks (config-driven approach preferred)
- CDC and incremental processing
- Data lakehouse architecture concepts
- Data modeling and warehousing principles
Programming
- Python
- Advanced SQL
- Java or Scala (preferred)
- Scripting and automation
Preferred Certifications
Google Cloud
- Google Professional Data Engineer
- Google Associate Data Practitioner
Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.
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Skills Required
- 6+ years of data engineering experience
- Hands-on experience with Google Cloud Platform
- Advanced BigQuery optimization and tuning
- Dataflow batch and streaming pipeline experience
- Dataform SQL-based transformation experience
- Pub/Sub and event-driven architecture experience
- Cloud Storage, Dataplex, Data Catalog, Analytics Hub, Cloud Monitoring, Cloud Logging, and IAM experience
- Batch and streaming data processing experience
- ETL/ELT pipeline design and implementation experience
- Data ingestion frameworks and config-driven processing experience
- CDC and incremental processing experience
- Data lakehouse architecture knowledge
- Data modeling and data warehousing knowledge
- Python proficiency
- Advanced SQL proficiency
- Scripting and automation experience
- Java or Scala proficiency
- Google Professional Data Engineer certification
- Google Associate Data Practitioner certification
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