Senior AWS Cloud Data Engineer I

## 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.