Data Analyst, Azure

For Earth For Life
Please note:
Sponsorship and relocation is NOT available for this role.
Candidate must be willing to be onsite a few days a week.
Office is located in Grapevine, TX.
BASIC PURPOSE AND SCOPE OF POSITION
This position requires a collaboration with business users/analysts/scientists to identify the required data and bring them into Azure analytics platform.
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:

• Design, build, and maintain datasets in Azure Data lake/SQL DB/Synapse by extracting data from various source systems
• Design and develop data processing
• Monitor and optimize data storage and data processing
• Work with Security Engineers to implement data security
• Actively involved with Production Support and troubleshoot the issues in live system by engaging appropriate internal and external stakeholders, being responsive, leading the root cause analysis and thoughtful on upstream and downstream impacts of the change.
• Provide quick resolution of the problems ensuring minimal downtime to the business and adhering to the change control process of the organization

SPECIAL PROJECTS
As assigned.
MINIMUM QUALIFICATIONS
EDUCATION, CERTIFICATIONS, AND TRAINING:

• Bachelor's degree in Computer Science, Information systems, Engineering or a related discipline; or equivalent combination of education and experience
• Certification of Data Engineering on Microsoft Azure is preferred

SKILLS AND BACKGROUND:

• 5+ years of experience in the Data and Analytics domain, performing Data Engineering on Business Intelligence, Digital and Data Warehouse projects.
• At least 2 full life-cycle Azure implementations preferred
• Must be an expert in implementing data warehouse, data lakes, big data, data streaming and ingestion, data retention and archiving, ETL, etc.
• Should have experience with Azure Storage/Data Lake, Azure Data Factory, Azure Databricks, Data processing languages SQL and Python or, Data Wrangling, Azure Synapse, and S/4 data structure, preferred.

LANGUAGE REQUIREMENTS:
Must be able to read, write and communicate in English.
EQUIPMENT OPERATION (% of time, description, nature of service):
Office equipment including computer, copier, fax, phone, printer
PHYSICAL REQUIREMENTS:
Typical office environment.
ADDITIONAL INFORMATION:
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.