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.