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.
Work visa sponsorship:
This position is not eligible for work visa sponsorship.
Workstyle:
Hybrid - at least 3 days per workweek at the local office at Marysville, OH
#LI-Hybrid
Qualifications, Experience and Skills:
A bachelors degree in computer science / computer engineering / electrical engineering / electronics, information systems, applied mathematics or similar field of study.
Work experience:
Must haves
8 or more years of data engineering experience
Knowledge of cloud-based technology including cloud connectivity options, data storage options (Amazon S3, Glacier), data lakes (S3 etc.), master data management, data cataloging, cloud warehouses (Redshift, etc.), cloud ETL/ELT tools (Glue, EMR etc.), cloud streaming options (Kinesis, Kafka etc.), cloud databases (RDS, DynamoDB, Redshift etc.), data search options (Athena) and cloud/on-prem BI products(Power BI, Tableau, etc.)
3 or more years of experience working with AWS technologies like Athena, Amazon RDS, Amazon Redshift, Amazon EMR, Glue, Amazon S3 etc.
2 or more years of Data warehousing experience
Other qualifying requirements:
Strong knowledge with one or more Database platforms, anyone - e.g. - DB2, SQL Server, Postgres
Experience in any programming languages, e.g. - Python, Java, Scala, Shell scripting or others.
Experience working with large integration projects.
Willing to learn and adopt to Emerging data engineering technologies
Ability to analyze critical information, assess upstream/downstream impact, and formulate broad recommendations
Desirables:
Experience with Informatica (PowerCenter, IICS, IDMC or BDM/DEI)
Strong understanding of relational data structures, theories, and principles. Experience with database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc.
Knowledge in enterprise information life cycle management including enterprise repository tools, data modeling, mapping, profiling, quality and master data management practices.
Other skills:
Be a good team player
Temper technology design or architecture processes with business sense to make appropriate decisions
Good knowledge of Project Management principals
Excellent verbal communication skills; Strong visual presentation skills
Flexibility to communicate effectively with various levels of management.
What differentiates Honda and makes us an employer of choice?
Total Rewards: • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) • Regional Bonus (when applicable) • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) • Paid time off, including vacation, holidays, shutdown • Company Paid Short-Term and Long-Term Disability • 401(K) Plan with company match + additional contribution
Career Growth: • Advancement Opportunities • Career Mobility • Education Reimbursement for Continued learning • Training and Development Programs
Additional Offerings: • Annual lifestyle bonus ~ $1K • Childcare Reimbursement Account • Elder Care Support • Tuition Assistance & Student Loan Repayment • Wellbeing Program • Community Service and Engagement Programs • Product Programs • Free Drinks Onsite
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.