AI Summary
We're seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms for a leading global automotive company in Japan. The ideal candidate will have strong experience in Data Engineering, proficiency in Python and SQL, and expertise in AWS Cloud services.
Key Highlights
Design, develop, and maintain robust ETL pipelines for large-scale data processing
Build and optimize data models and SQL queries for analytics and reporting
Implement cloud-native data solutions on AWS
Technical Skills Required
Benefits & Perks
Visa sponsorship available
Hybrid work model
Full-time employment
Job Description
- leading Automotive Tech companies
- highly skilled and motivated Data Engineer
- A robust data platform in AWS/Azure Cloud Environment
We are looking for a Data Engineer to design, build, and optimize scalable data pipelines and platforms that support analytics, AI/ML, and business intelligence use cases. You will work closely with data scientists, software engineers, and product teams in a highly collaborative, international environment.
If you are interested to learn more, email to Betrand.Chris@teksystems.com
🔧Key Responsibilities
- Design, develop, and maintain robust ETL pipelines for large-scale data processing
- Build and optimize data models and SQL queries for analytics and reporting
- Support to Develop backend data services using Python
- Implement cloud-native data solutions on AWS (S3, Redshift, Glue, EMR, Lambda, etc.)
- Ensure data quality, reliability, and performance across pipelines
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Support best practices around data governance, security, and scalability
- Bachelor’s degree in Computer Science or related field (or equivalent experience)
- Strong experience in Data Engineering or related roles
- Proficiency in Python and SQL
- Hands-on experience building ETL pipelines
- Advanced SQL skills (query optimization, complex joins, performance tuning)
- Solid experience with AWS Cloud services
- Experience working with large datasets and distributed systems
- Strong problem-solving and communication skills
- Experience in automotive, IoT, or manufacturing domains
- Exposure to data lakes, streaming frameworks, or ML pipelines
- Experience working in global or multicultural teams
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