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.
by Jobble
* 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.
by Jobble
Senior AWS Cloud Data Engineer I in marysville at Unknown Company
This position is listed as full time and able to be worked remotely.