A
Full Time Permanent

Job detail

Senior AWS Cloud Data Engineer I

American Honda Motor Co., Inc.

Marysville, Ohio, United States

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Job description

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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