Develop scalable data products and pipelines for connected vehicle data in an international tech environment focused on analytics, reporting, and ML/AI.
Do you want to develop data products that make vehicle data accessible, reliable, and usable? In this role, you'll work in an international automotive tech environment with data for analytics, reporting, and ML/AI.
You'll become a key part of a team that builds and maintains cloud-based data services for internal users and external business applications.
About the Role
Develop and maintain data products for vehicle data.
Work with data platforms, data warehouses, and data APIs.
Support analytics, reporting, battery health, and ML/AI use cases.
Ensure stable operations, good data quality, and efficient data flows.
What You'll Do
Design, develop, and maintain batch and streaming pipelines.
Build workflows for data cleaning, transformation, and modeling.
Monitor performance, data quality, and system health, and troubleshoot incidents.
Develop data models, reports, and simple dashboards.
Manage configuration, releases, validation, and improvements of data products.
We're Looking for Someone With
2–4 years of experience in data engineering, data products, or data platform operations.
Experience with data warehouses, data modeling, and ETL/ELT processes.
Strong SQL skills and practical experience with Python or another programming language.
Experience with production-level operations, testing, monitoring, and troubleshooting.
Understanding of data access, security, privacy, and compliance.
Tech & Tools
SQL and Python.
Apache Spark, Kafka, Flink, or equivalent data processing technologies.
AWS, such as S3, Redshift, EMR, and Glue.
Databricks, Snowflake, or equivalent data platforms.
Power BI, CI/CD, and DevOps tools.
Practical Information
Location: Not specified.
Work arrangement: Not specified.
Language: English required.
Additional language proficiency in Chinese is a plus.