Senior Backend Engineer (Analytics)
Tokyo Office
Engineering /
Full-time /
Hybrid
Our Mission:
Driving technology always feels old. Not by a little bit. We believe vehicles can be a thousand times smarter, safer, and more connected to the world around us, and our mission is to see it happen. In 2019, we joined forces with Honda as their first startup acquisition, and now we’re expanding our vision into building the future of electric vehicles (BEV) for millions of people around the world.
Why Drivemode:
Join Drivemode for an exciting startup environment and a vibrant culture that combines impactful work, competitive compensation, and excellent benefits. By becoming a part of our team, you'll contribute to a crucial mission that revolutionizes the way people engage with vehicles, addressing both business needs and the world's environmental challenges. This presents an exceptional opportunity to be at the forefront of innovation and drive Honda's success in the EV market.
About the Role:
The Senior Backend Engineer (Analytics) is responsible for designing, building, managing, and optimizing the data pipelines and infrastructure required to support data-driven decision-making across the company. You will leverage cloud technologies, particularly AWS, to ensure reliable data ingestion, storage, and processing. Working closely with data analysts, product owners, and engineers, you will not only build the foundational data systems but also possess the analytical skills to contribute to reports, visualizations, and data exploration, ensuring our data is both accessible and insightful.
What You Will Do:
- Design, implement, and operate scalable and reliable data pipelines using technologies like Kafka, AWS Kinesis Firehose, and Kubernetes.
- Manage and optimize data storage solutions on AWS S3 and potentially other databases.
- Develop ETL/ELT processes to transform raw data into curated datasets suitable for analysis.
- Monitor, troubleshoot, and optimize data infrastructure performance and reliability in production environments.
- Implement data quality checks and ensure data governance best practices.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Develop and maintain reports, visualizations, and dashboards to support business needs.
- Conduct ad-hoc data analysis to answer specific business questions or support data exploration.
- Contribute to the automation of data workflows and infrastructure management (e.g., CI/CD for data pipelines).
- Document data architectures, pipeline designs, and processes.
- Experience with data governance frameworks and tools to ensure data quality, security, and compliance.
What We Are Looking For:
- 3-5+ years of experience in a Data Engineering, Analytics Engineering, or similar role.
- Proven experience designing, building, and operating data pipelines and infrastructure on AWS, specifically using services like S3 and Kinesis Firehose.
- Hands-on experience with event streaming platforms, particularly Kafka.
- Experience with container orchestration using Kubernetes for data workloads.
- Strong proficiency in SQL and at least one common data engineering programming language (e.g., Python, Scala, Java).
- Experience with data governance frameworks and tools to ensure data quality, security, and compliance.
- Demonstrable experience in data analysis, including creating reports, visualizations, and dashboards (using tools like Qlik, Tableau, Power BI, Looker).
- Solid understanding of data modeling concepts and database design (both relational and NoSQL).
- Experience collaborating effectively across technical and non-technical teams.
- Familiarity with agile methodologies and software/data engineering best practices.
- A proactive attitude, keen problem-solving skills, and a willingness to learn and apply new technologies.
- Able to collaborate effectively in English and understand technical documentation.
Nice to Have:
- Experience with specific AWS data services like Redshift, Athena etc
- Experience with the Confluent Platform or Kafka Streams.
- Familiarity with NoSQL databases like MongoDB.
- Experience with Infrastructure as Code tools (e.g., Terraform).
- Japanese language ability is always welcome.
EEOC Statement:Drivemode is proud of a very diverse team with employees coming from 5 continents/20 countries as of today. Diversity in our workplace has played an important part in our success; we recognize each employee’s unique background, knowledge, experiences, ideas, and viewpoints which are all critical in developing a product that has the greatest impacts on drivers all over the world. Drivemode provides equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, gender, national origin, sexual orientation, gender identity, disability, or any other characteristics that make you unique.
