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- DataOps Engineer – ADAS Data Platform
JOB ID 28014
DataOps Engineer – ADAS Data Platform
- IT, Software platform
- IT, Data Analyst
- Kanagawa
- ¥5,500,000~¥10,000,000
Top Global Sales | As a foreign-affiliated automotive parts manufacturer, the company is expanding its software and electronics products. As a long-established German company with roots in Japan and operating worldwide, it employs diverse employees, maintains a 1% turnover rate, and maintains a well-established work environment. In April 2024, a new research and development facility was completed, and we are working on further advanced technology development.
A global leader in sales, this foreign-owned automotive parts manufacturer is expanding its software and electronics product portfolio. As a long‑established German company in Japan with worldwide operations, it offers a diverse workforce and an excellent working environment, reflected in its low 1% turnover rate. In April 2024, a new research and development facility was completed, further strengthening the company’s efforts in advanced technology development.
This position is responsible for operating and improving large-scale data platforms that support ADAS (Advanced Driver Assistance Systems) and autonomous driving development.
We are responsible for stable operation throughout the entire data lifecycle, from ingesting vehicle sensor data to data processing, quality control, dataset generation, labeling, and machine learning workflows. Based in Japan, we collaborate with global teams to support ADAS development projects worldwide.
Job Description
-
- Responsibilities
- Operation and management
of ADAS data platforms and data pipelines; data lifecycle
management platforms including data ingestion, processing, metadata management, quality verification, and dataset generation; monitoring, alert response, incident response, and troubleshooting
of root cause analysis (RCA) and
recurrence prevention measures for failures and data quality issues; monitoring and improvement
of data freshness, integrity, accuracy, and processing performance; automation of routine tasks
and operations processes using Python and other means; building and improving
dashboards, monitoring, alerts, runbooks, and operational documentation; enhancement of data recovery and reprocessing functions and observability;
continuous platform improvement in collaboration with domestic and international development, verification, and machine learning teams.
-
- Requirements
- Business-level English proficiency
; experience
in production operations of data infrastructure, data pipelines, cloud infrastructure, or distributed systems; experience in monitoring, alerting, incident response, troubleshooting, and RCA
; experience
using Microsoft Azure or equivalent cloud platforms; knowledge
of ETL/ELT, data quality, metadata management, and data lifecycle; scripting and
automation experience using Python, PowerShell, Bash, etc.; practical experience
in data research, verification, and log analysis using SQL; knowledge and experience in
Linux, Git, and DevOps/DataOps; communication skills to collaborate with domestic and international stakeholders.
-
- Preferred
- Business-level Japanese proficiency
; experience
using Azure Storage, Databricks, Azure Monitor, etc.; experience
with ADAS/autonomous driving, vehicle sensor data, vehicle measurement systems; experience
with Spark, Airflow, Argo Workflows, Docker, Kubernetes, etc.; experience in cloud and DevOps environments
using Terraform, Bicep, GitHub, etc.; operational experience in machine learning workflows, dataset generation, data labeling, etc.
-
- Location
- Kanagawa
-
- Work Style
- Flex working possible
-
- Salary
- ¥5,500,000~¥10,000,000
-
- Attractive
Points - Childcare support system, Overseas business trip, Foreign capital company, Overseas communication, Weekends and holidays off, Make use of languages
- Attractive
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