Senior IT Data Engineer

Tyson Foods•Springdale, AR

About The Position

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended. Job Details: DUTIES: Define, design, implement, and manage cloud ETL data pipelines. Build integrated solutions with automation, monitoring, and analytics solutions on a cloud platform. Translate tactical/strategic requirements to ensure effective solutions that meet business needs. Keep up with the latest cloud technologies, as well as the pros and cons of these technologies. Participate and provide consultation on complex initiatives. Develop work breakdown structures. Estimate effort and duration of work. Review specifications to ensure consistency in approach and use. Research improvements in coding standards and participate in code review. Re-factor code to improve testability and maintainability when needed. Perform detailed technical design, development, and unit testing of custom applications and data flow in the context of projects, releases, and production support. Deliver high-quality code for features and bug fixes. Apply knowledge of API/containers/micro services development - both building and consuming. REQUIREMENTS: Bachelor’s degree in Computer Science, Information Systems, or a related field, and three (3) years of experience in Data Engineering, Full Stack Development, or Data Analysis. Alternatively, will accept a Master’s degree in Computer Science, Information Systems, or a related field, and two (2) years of experience in Data Engineering, Full Stack Development, or Data Analysis. Must have: 1 year experience working with Structured Query Language (SQL) in a Data Engineering capacity in either Commodities, Procurement, Sales, Marketing, Innovation, R&D, Automotive, Supply Chain, or Environmental Health and Safety; 1 year experience using Python for complex data analysis; 1 year experience performing Extract Transform Load (ETL) processes in a Data Engineering capacity in either Commodities, Procurement, Sales, Marketing, Innovation, R&D, Automotive, Supply Chain, or Environmental, Health, and Safety; Data Modelling in a big data capacity using hyper-scale databases such as BigQuery, Redshift, Snowflake, Vertica, or Clickhouse; Traditional Data Warehousing utilizing relational databases NoSQL or Object-Oriented Databases; and Data visualization tools such as Tableau, PowerBI, Looker, Qlik, or Superset. Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status. We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more. If you would like to learn more about your data privacy rights and how you may use that information, please read our Job Applicant Privacy Notice here. Unsolicited Assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States. Any resumes or candidate profiles submitted by recruitment vendors or headhunters to any employee or applicant tracking system at Tyson Foods or its subsidiaries, without a valid written request and search agreement approved by HR, will be considered the property of Tyson Foods. No fees will be paid if the candidate is hired due to an unsolicited referral. Our team members make the difference. If you are ready to grow your career with an industry leader and want to positively impact the team and community around you, then join us in helping us in raising expectations. Join us on the journey. At Tyson, we are raising expectations for how much good people can do. Our Talent Strategy is to Attract, Grow, Reward and Retain the best talent, and we believe that our Culture is the connecting thread that drives that strategy! We strive to be a talent magnet to establish a reputation for being a talent rich organization where team members can grow their career while growing the business. We are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where we live and work. To learn more about our culture, please read Our Purpose. Tyson Foods, Inc. is an Equal Opportunity Employer. If you are unable to apply for career opportunities through use of this site due to an impairment or disability, please contact (479) 290-5000 for further assistance.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field, and three (3) years of experience in Data Engineering, Full Stack Development, or Data Analysis. Alternatively, will accept a Master’s degree in Computer Science, Information Systems, or a related field, and two (2) years of experience in Data Engineering, Full Stack Development, or Data Analysis.
1 year experience working with Structured Query Language (SQL) in a Data Engineering capacity in either Commodities, Procurement, Sales, Marketing, Innovation, R&D, Automotive, Supply Chain, or Environmental Health and Safety
1 year experience using Python for complex data analysis
1 year experience performing Extract Transform Load (ETL) processes in a Data Engineering capacity in either Commodities, Procurement, Sales, Marketing, Innovation, R&D, Automotive, Supply Chain, or Environmental, Health, and Safety
Data Modelling in a big data capacity using hyper-scale databases such as BigQuery, Redshift, Snowflake, Vertica, or Clickhouse
Traditional Data Warehousing utilizing relational databases NoSQL or Object-Oriented Databases
Data visualization tools such as Tableau, PowerBI, Looker, Qlik, or Superset

Responsibilities

Define, design, implement, and manage cloud ETL data pipelines.
Build integrated solutions with automation, monitoring, and analytics solutions on a cloud platform.
Translate tactical/strategic requirements to ensure effective solutions that meet business needs.
Keep up with the latest cloud technologies, as well as the pros and cons of these technologies.
Participate and provide consultation on complex initiatives.
Develop work breakdown structures.
Estimate effort and duration of work.
Review specifications to ensure consistency in approach and use.
Research improvements in coding standards and participate in code review.
Re-factor code to improve testability and maintainability when needed.
Perform detailed technical design, development, and unit testing of custom applications and data flow in the context of projects, releases, and production support.
Deliver high-quality code for features and bug fixes.
Apply knowledge of API/containers/micro services development - both building and consuming.