Data Engineer - Sales Operations Reporting

For Earth For Life

NOTE:  This position requires some in-office/on-site.  Employer sponsorship is not available. Relocation is not provided.

BASIC PURPOSE AND SCOPE OF POSITION

The Data Engineer is responsible for designing and building systems for the purpose of collecting, validating, and preparing high quality data. This role strives to make data easily accessible to optimize Kubota’s big data ecosystem.

PRINCIPAL ACTIVITIES:  This position does the following in accordance with all applicable Federal, State and local laws / regulations and the Company’s policies, procedures and guidelines:

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Experience in application development using Python or Java.
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Design and develop data pipelines using Python, Spark and AWS technologies.
• Experience with Distributed data/computing tools Spark, Kafka etc.
• Develop and maintain data models to support data analysis and reporting.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Create data tools for analytics team members that assist them in building and optimizing our product into an innovative industry leader.
• Additional duties assigned by management.

MINIMUM QUALIFICATIONS

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology or related field required.
  • 5 years of Data, BI or related experience required.
• Experience creating and maintaining a data warehouse or data lake
• Experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL, and Microsoft Fabric/Power BI
• Experience with machine learning and AI
• Experience with Application Programming Interfaces(APIs) to integrate data
• Experience with different data formats/structures, data extraction, data transformation, data integration, data mapping/joining, data quality assurance, data governance/security, error handling, scalability/performance optimization, and documentation
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow.
• Strong analytical skills, problem solving and strategic thinking.

EQUIPMENT OPERATION (% of time, description, nature of service):
Office equipment including computer, copier, fax, phone, printer

PHYSICAL REQUIREMENTS:
Typical office environment.

ADDITIONAL INFORMATION:
This position is a great learning opportunity, as the successful candidate will be cross trained on a wide range of Treasury functions.

DISCLAIMER:

The information provided in the description has been designed to indicate the general nature and level of work performed by incumbents within the classification.  This description is not intended to be a comprehensive inventory of all duties, responsibilities, qualifications and working conditions required of employees assigned to this job/classification.  This job is intended to include the current essential functions of the job.  Management reserves the right to add or modify the duties and responsibilities and to designate other functions as essential at any time.

 Kubota is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin.