Degree in Artificial intelligence- AI
Aartificial intelligence, Apache Hive, Apache Kafka, Big Data Technology, Computer Vision (CV), Data Engineering, Data Governance, Data science techniques, Google BigQuery, Java Programming, JIRA, Looker, Machine learning techniques, PowerBI, Python Programming, SAP, Scala Programming, SQL, Tableau
Duties:
Work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions that will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals. Solve complex data problems to deliver insights that helps our business to achieve their goals. Create data products for analytics and data scientist team members to improve their productivity. Advice, consult, mentor and coach other data and analytic professionals on data standards and practices. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team. Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes. Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
Telecommuting 100% of the time is permitted.
Requirements:
Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology and Management, Engineering or related field and 5 years of post-baccalaureate, progressively responsible experience in data engineering or architecture.
OR
Master’s degree in Computer Science, Computer Information Systems, Information Technology and Management, Engineering or related field and 1 year of experience in data engineering or architecture.
Must have 1 year of experience in each of the following:
Background check and drug testing required.
Contact: Apply online at https://careers.generalmills.com/careers/ Please refer to job requisition number- #26017 | 20330.291.8.
The salary range for this position $129,147-174,600. At General Mills we strive for each employee’s pay at any point in their career to reflect their experiences, performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decision including, but not limited to, education, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
General Mills, Inc., is an American multinational manufacturer and marketer of branded consumer foods sold through retail stores. Founded on the banks of the Mississippi River at Saint Anthony Falls in Minneapolis, the company originally gained fame for being a large flour miller. Annie's Homegrown, Lärabar, Cascadian Farm, Betty Crocker, Yoplait, Nature Valley, Totino's, Pillsbury, Old El Paso, Häagen-Dazs, Cheerios, Chex, Lucky Charms, Trix.
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