The role involves mentoring a global team while designing robust, scalable data architectures and unified schemas for diverse markets
Job Summary
The role involves mentoring a global team while designing robust, scalable data architectures and unified schemas for diverse markets.
You will engineer high-performance distributed data pipelines using GCP technologies like Dataflow and Pub/Sub to deliver real-time and batch streaming solutions.
TVH offers a family atmosphere where people are at the center, valuing clarity, mutual respect, and open communication within an international market leader.
Matching Summary
The role involves mentoring a global team while designing robust, scalable data architectures and unified schemas for diverse markets.
Skills & Requirements
Must-have
8-12 years Data Engineering experience
Google Cloud Platform (GCP) expertise
BigQuery Cloud SQL Cloud Spanner
Apache Airflow Cloud Composer orchestration
Python programming for data automation
dbt transformation tool proficiency
IAM security and least privilege principles
Nice-to-have
CI/CD with Jenkins or Gitlab
Infrastructure as Code Terraform
Pentaho knowledge
DevOps methodologies familiarity
Scrum Agile project development
Equipment parts industry affinity
Reverse ETL experience
Key Requirements
Master's or Bachelor's degree in Computer Science or related field
8-12 years of professional Data Engineering experience
Strong academic foundation in Distributed Systems and DBMS
Preferred: Google Cloud Professional Data Engineer certification