What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda’s, we want you to join our team to Bring the Future!
Job purpose:
The Data Engineer is responsible for designing, building, maintaining, governing and supporting many data pipline implemented in North America.
1. Team Player: Deliver solutions by collabartion with business and other data teams to deliver solutions that meet business objectives. Meet goals, seek and provide guidance and clear roadblocks.
2. Data Engineering roadmap: Help develop and maintain a robust data engineering strategy and roadmap that aligns with the organization's overall business objectives. This includes selecting and operationalizing data engineering tools, defining data engineering standards, and ensuring data integrity, security, and quality is maintained.
3. Data Governance and Data Catalog: Adhere to data governance and data Catalog policies, procedures, and best practices on the data pipelines. Collaborate with governance and Catalog teams to define data standards, data classification, data retention, and data lifecycle management.
4. Data Integration Pipeline: Design and implementation of data integration processes, ensuring seamless data flow and interoperability between systems. Work closely with application developers and infrastructure teams to ensure effective data integration and transformation.
5. Data Security and Privacy: Ensure the implementation of data security and privacy measures, in compliance with relevant regulations (such as GDPR, HIPAA, etc.), to protect sensitive data from unauthorized access or breaches.
6. Data Analytics and Reporting: Collaborate with business analysts and data scientists to define data requirements for analytics and reporting purposes. Support the development and maintenance of data analytics platforms, data warehouses, and reporting solutions.
7. Stakeholder Engagement: Engage with business stakeholders, including executives, managers, and end-users, to understand their data needs and provide strategic recommendations. Collaborate with cross-functional teams to define and execute data-driven initiatives.
8. Vendor Management: Evaluate and select third-party vendors or solutions for data-related products or services. Manage vendor relationships, contracts, and service level agreements (SLAs) to ensure successful delivery.
9. Continuous Improvement: Stay updated with emerging data management trends, technologies, and best practices. Identify opportunities for process improvement, automation, and optimization within the data engineering team.
10. Collaboration and Communication: Foster a culture of collaboration, knowledge sharing, and effective communication within the team and across departments. Facilitate regular team meetings, workshops, and training sessions to enhance technical skills and foster innovation.
Key Accountabilities:
• Review project deliverables and ensure that Data architecture and engineering standards are being followed.
• Develop and ensure other teams are developing optimal code and meet required performance standards:
• Resolve platform related issues. Coordinate with vendors for product related issues, patches, bug fixes and upgrades.
• Collaborate with appropriate stakeholders on defining and implementing technology direction/roadmap within data integration technology space.
• Meet with application teams to understand requirements and recommend high-level direction and approach to upcoming projects.
Qualifications, Experience and Skills:
• College degree in computer science, information systems, or computer engineering.
Work experience:
• 6+ years of Data engineering experience
• 2+ years of experience with Informatica (PowerCenter, IICS, IDMC or BDM/DEI)
• 2+ years of experience working with AWS technologies like Athena, RDS, Redshift, EMR, Glue, S3 etc.
• 2+ years of Data Warehousing experience
• Strong knowledge with one or more Database platforms (DB2, SQL Server, Postgres)
• Experience in programming languages like Python, Java, Scala Shell scriping or others.
• Experience working with large integration projects.
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Location: Marysville, OH
Posted: Aug. 18, 2024, 5:29 a.m.
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