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Senior AWS Cloud Data Engineer I

Honda South Carolina Manufacturing • Full-time • Marysville, OH, US • 3d ago

Job Purpose

The Data Engineer designs, builds, and maintains scalable data solutions to enable advanced analytics and business intelligence across Honda’s enterprise.

Key Accountabilities

Data Pipeline Development:
- Design and implement ETL pipelines using AWS services (Glue, EMR, DMS, S3, Redshift).
- Orchestrate workflows with AWS Step Functions, EventBridge, and Lambda.
- Integrate CI/CD pipelines with GitHub and AWS CDK for automated deployments.
Data Modeling & Transformation:
- Develop conceptual, logical, and physical data models for operational and analytical systems.
- Optimize queries, normalize datasets, and apply performance tuning techniques.
- Use Python, PySpark, and SQL for data transformation and automation.
Security & Governance:
- Implement IAM roles and encryption policies for data protection.
- Ensure compliance with governance standards using tools like Informatica CDGC/CDQ.
Monitoring & Optimization:
- Monitor pipeline performance using CloudWatch and Glue job logs.
- Troubleshoot and resolve data quality and performance issues proactively.

Qualifications, Experience, And Skills

Minimum educational qualifications:
- A Bachelor's degree in Computer Science / Data Science / Applied Mathematics / Information Technology / Informations Sciences / Electronics or a related field of study or, equivalent relevant work experience.
Minimum work experience
- At least 3 years of demonstrable work experience in the industry, in data engineering or related roles.
- Proven track record in Amazon Web Services (AWS) based data solutions and orchestration
- Integration with ERP systems (SAP, Homegrown ERP Systems)
- API-based Data Exchange between Manufacturing, Supply Chain legacy applications and AWS pipelines
- Metadata Management for compliance attributes
- Audit Trails & Reporting for compliance verification
- Expertise in cloud to design, build, and maintain data-driven solutions
- Skilled in Data Architecture and Data Engineering with a strong background in Supply Chain domain
- Experienced in Data Modeling (Conceptual, Logical, and Physical), ETL optimizations, Query optimizations and Performance tuning
Other job specific skills:
- Technical Skills:
  - Programming languages: Python, PySpark, SQL
  - AWS Services: Glue, EMR, EC2, Lambda, DMS, S3, Redshift, RDS
  - Data Governance: Informatica CDGC/CDQ
  - DevOps Tools: Git, GitHub, AWS CDK
  - Security: IAM, encryption policies
  - Monitoring: CloudWatch, Glue Catalog, Athena
  - Strong integration background with DB2, UDB, SQL Server etc
- Soft Skills:
  - Strong communication and collaboration skills.
  - Ability to work with cross-functional teams and stakeholders.

Workstyle

The position will require the employee to work onsite at our corporate office in Marysville, OH, at least 4 days per workweek. One remote workday per week may be possible with prior departmental approval.

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