John deere Remote 90hc2c ***MUST HAVE MANUFACTURING EXPEIRENCE WITH AUTOMOTIVE HIGHLY PREFERRED.Job Description Join an innovative R&D group focused on enhancing the efficiency and automation of their data pipeline, including data collection, transformation, and system architecture. Work with advanced technologies such as smart displays on off-highway equipment, telematics, edge devices, and cloud computing.
Responsibilities - Design and architect scalable and reliable data pipelines to automate data processing workflows.
- Develop and test software to implement prototype code to prove out designs.
- Collaborate with data scientists, engineers, and stakeholders to understand data needs and requirements.
- Develop and implement ETL processes to transform and load data from various sources into our data warehouse.
- Optimize data pipelines for performance, scalability, and efficiency.
- Create data architectural designs and develop related best practices.
- Transform business requirements into conceptual, logical, and physical data models.
- Promote and support a data-driven culture of quality, collaboration, rapid delivery, and business impact.
- Collaborate with Product Managers, Delivery leads, System Engineers, Data Analysts, Data Stewards, Business Stakeholders, and Software Development teams during the solution design process.
- Author, refine, and collaborate on the improvement of corporate data architecture standards, procedures, and metrics.
- Communicate data architecture-related concepts to both business and development teams.
- Integrate Data Architecture with the existing software delivery deployment process.
Essential Skills - 7+ years of experience with Data Modeling, Data Warehousing, and working with large-scale datasets.
- Experience working with Business Architects, System Architects, Engineering, Data Architects, and/or Data Stewards to capture business requirements in a Logical Data Model.
- Expertise in data architecture best practices, relational data modeling, and data warehouse/data mart concepts.
- Experience in integrating Data Architecture with CI/CD processes.
- Comprehensive understanding of data lineage, data mapping, data security/confidentiality/privacy, and related data standards.
- Deep knowledge of entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and metadata modeling practices.
- Working knowledge of Relational Database Management Systems (RDBMS) and SQL.
- Strong collaboration skills with experience driving conversations and influencing complex data design challenges.
- Ability to make decisions with limited knowledge while balancing best practices, schedule, and business needs.
- Strong communication skills to model and convey complex concepts both in writing and verbally.
- Ability to work with limited supervision, break down complex data architectural requirements, prioritize work, and execute.
- BS/MS in Computer Engineering or Computer Science.
- Proficiency in programming languages such as Python, Golang, or others.
- Experience with ETL tools and frameworks (Apache tools, AWS Lambda, etc.).
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services and deployment strategies.
- Knowledge of data modeling, database design, and data warehousing concepts.
- Experience with container orchestration tools (Docker, Kubernetes).
- Ability to create supporting documentation such as design documents, architecture diagrams, test procedures, and reports.
- Good oral and written communication skills with the ability to professionally support periodic communication to management and technical teams.
- Experience with Agile Scrum development methodologies and common workflow tools: GIT, Jira, etc.
- Ability to code (hands-on architect).
- Experience with ER/Studio.
Additional Skills & Qualifications - Experience in the off-highway heavy machinery, automotive, or industrial control industry.
- Experience designing software for a distributed ECU system using CAN or Ethernet communication.
- Understanding of machine learning and AI concepts.
- Experience developing software in additional programming languages.
- 5+ years of experience leveraging metadata within repositories.
- Working experience in AWS or exposure to other cloud technologies.
- Working knowledge of or exposure to Data Engineering tools and technologies (e.g., Databricks, Data Lake concepts).
- Working knowledge of AWS services such as Lambda, RDS, ECS, DynamoDB, API Gateway, S3, etc.
- Experience with REST API development or providing data architectural support during API development.
- Experience implementing and/or leveraging Data Governance and Stewardship program capabilities.
- Passionate, creative, and eager to learn new complex technical areas.
- Accountable, curious, and collaborative with a focus on quality.
- Skilled in interpersonal communications and ability to communicate complex topics to non-technical audiences.
- Experience working in an agile team environment.
- Ability to function in a fast-paced, collaborative team environment distributed across time zones and locations.
Work Environment Work in a dynamic R&D environment utilizing advanced technologies such as telematics, edge devices, and cloud computing. Collaborate closely with cross-functional teams to drive innovation and efficiency in data architecture and processing workflows. The role may require working with diverse technologies and tools, including AWS, Python, Golang, Docker, and Kubernetes.
