If you are passionate about contributing to a sustainable future and being part of a dynamic team shaping the electric vehicle revolution, this opportunity is tailor-made for you. We are seeking dedicated individuals to join us as full-time, on-site team members at our new, state-of-the-art factory located in the thriving city of DeSoto, Kansas.
The Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and data collection into various data lakes and warehouses for cross functional teams. The Data Engineer will support our digital transformation team, software developers, database architects, data analysts and data scientists on various initiatives. They shall evaluate and provide recommendations to build and maintain the right storage solutions and will ensure availability of optimal data delivery architecture, consistent throughout ongoing projects. The right candidate will be excited by the prospect of improving and optimizing our company’s data architecture to support our next generation of products and data initiatives.
Essential Duties:
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Explore and build algorithms and design and test prototypes to enhance data quality, efficiency and reliability
- Collaborate with data scientists and other engineering and operations teams on several projects
- Develop, construct, test and maintain data pipeline, cloud database, data lake, data warehouse and metadata infrastructure and architectures
- Developing pipelines from existing systems and business process into the Ontology
- Prepare data for prescriptive and predictive modeling
- Evaluate business needs and objectives and identify opportunities for data acquisition
- Analyze and organize raw data from different sources to meet business requirements
- Build data systems and pipelines
- Working with engineering, operations and executive teams and assisting them with data-related technical issues and infrastructure needs
Personal Protective Equipment (PPE) Requirements:
- To ensure the health and safety in the workplace and for the protection of our employees’, wearing PPE is a possibility and includes equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, and a full hazmat suit that includes a respirator.
The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.
Qualifications:
Education:
Basic/Required:
- Degree in Computer Science, Information Systems, Statistics or similar field; Master’s is a plus
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus
- 3+ years as a Data Engineer or an equivalent combination of education and experience.
Essential Qualifications:
- Experience building and optimizing data pipelines, data models, data structures and meta-data
- Hands-on experience with scripting and programming languages like Python, R, and other languages
- Hands-on experience with relational NoSQL and SQL databases like Oracle, Postgres, MySQL, Cassandra
- Hands-on experience with software and tools like Kafka, Spark, Hadoop, Tableau, PowerBI
- Hands-on experience with workflow management and pipeline tools like Airflow, Luigi and Azkaban
- Excellent analytical, problem-solving & communication skills
- Ability to identify and analyze data patterns and quality discrepancies
- Experience leading projects and coordinating with cross-functional teams
- Experience documenting metrics and interpreting them as indicators of data quality.
Preferred Qualifications:
- Good understanding of various models
- Experience working in an agile environment
- Experience creating and developing an application
- Hands-on experience with Docker and Kubernetes is a plus
- Knowledge of Windows and Linux in Desktop and Server environment is a plus
Physical Demands:
Physical Activities: (Percentage of time (equaling 100%) during the normal workday the employee is required to)
- Sit: 40%
- Walk: 30%
- Stand: 20%
- Lift: 10%
Required Lifting and Carrying: (Required frequency is: Not required (0%), Occasional (1-33%), Frequent (34-66%, Continuous (67-100%)
- Up to 10 lbs.: Occasional
- Up to 20 lbs.: Occasional
- Up to 35 lbs.: Occasional
- Team-lift only (over 35 lbs.): Not Required
About Us:
At the heart of this visionary project, Panasonic is committed to manufacturing cutting-edge cylindrical lithium-ion cells that will power the future of electric mobility. These cells will be meticulously crafted to meet the growing demands of the automotive industry, supporting various electric vehicle manufacturers in their quest for eco-friendly transportation solutions.
This role presents a unique chance to be at the forefront of innovation, working within a forward-thinking organization that is committed to environmental responsibility and the advancement of green technology. Be a part of our mission to power the future and make a difference in the world of electric mobility with Panasonic!
Supplemental Information:
Pre-employment drug testing is required. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. without restriction.
Panasonic is an Equal Opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation.
Thank you for your interest in Panasonic Energy of North America.
