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IT Data Engineer I MXT
hace 3 horas
IT Data Engineer I MXT page is loaded## IT Data Engineer I MXTlocations: TRC IT HUB - Torreon, El Fresno, Coahuila, Mexicotime type: Full timeposted on: Posted Todayjob requisition id: R0441628**Job Details:**The IT Data Engineer I is expected to have foundational proficiency in SQL and ETL processes, with an ability to build simple data transformation scripts. They should understand the basics of data warehousing concepts and start to engage with data governance processes. This role involves basic data pipeline scripting and programming tasks, establishing a groundwork for further development in data engineering disciplines. Essential Duties and Responsibilities: • Develop and maintain SQL-based data pipelines, ensuring efficient ETL processes. • Assist in scripting and programming tasks to support data operations. • Provide support for writing common SQL and calculations within data visualization tools. • Contribute to data warehousing concepts and practices under supervision. • Learn and apply foundational concepts of data architecture and basic visualization principles. • Support basic data security measures, including row-level and column-level security. • Assist in building and deploying basic data visualization solutions, focusing on simplicity and clarity. • Provide assistance in data governance activities to ensure data quality and compliance. • Collaborate with team members and stakeholders to understand requirements for data solutions. • Begin to understand data privacy and security practices to protect sensitive information. • Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice. Qualifications: Education: Bachelor’s Degree or relevant experience. Preferred Certification(s): Any relevant IT Certification. Experience: Less than one year of relevant or practical experience. Special Skills: • Proficiency in SQL and basic ETL tools. • Understanding of data warehousing concepts and basic data architecture. • Familiarity with data pipeline orchestration and monitoring. • Initial exposure to big data technologies like Hadoop or Apache Spark. Soft Skills: • Adaptability: Willingness to learn new technologies and adapt to change • Collaboration: Ability to work effectively in cross-functional teams • Communication: Clear and concise communication of technical concepts • Attention to Detail: Meticulous approach to data handling and analysis • Problem-Solving: Analytical thinking for troubleshooting and issue resolution • Time Management: Ability to prioritize tasks and meet deadlines • Curiosity: Eagerness to explore and understand new data concepts.#TysonMXT**Relocation Assistance Eligible:**No**Work Shift:**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.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 strategyWe 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 .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.
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