Data Engineer- PECNA KS - Topeka, United States - Kansas Action for Children

Description

at Panasonic Corporation of North America in EudoraDe Soto, Kansas, United States
Job Description

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... For full info follow application link.
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer.

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 or company policy.

All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. 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. Thank you for your interest in Panasonic Corporation of North America.

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