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.