Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand and popular Data Engineer title raise applicant density.
Core data engineering skills are broadly transferable despite automotive context.
0-1 year requirement plus mandatory GCP, SQL and programming skills create moderate filtering.
Build, maintain, and automate data ingestion pipelines using Google Cloud data tools such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Storage.
Clean, transform, and model datasets to support data science models and business intelligence dashboards for automotive data.
Collaborate with cross-functional teams to deliver production-ready datasets and ensure data quality, integrity, security, and compliance.
Bachelor's degree in Computer Science, Information Technology, or a closely related engineering discipline (B.E./B.Tech).
0-1 years of relevant work experience, preferably in the automotive industry.
Strong proficiency in Python, Java, or Scala, with good understanding of object-oriented programming, and excellent SQL skills.
Fundamental understanding of cloud computing; academic or hands-on exposure to Google Cloud Platform (GCP) preferred.
Experience working with Google Cloud data ecosystem tools and automated data pipeline development.
Strong analytical skills to debug pipelines and handle data anomalies effectively.
Ability to collaborate with data scientists, analysts, and product teams to meet production data requirements in an agile environment.