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About Land O’Lakes:Land O’Lakes, Inc. is a 100-year-old farmer owned cooperative originally formed with the purpose of working together to create new market opportunities for dairy producers. Our journey began in 1921, when 320 dairy farmers met in St. Paul, Minnesota, to form the Minnesota Cooperative Creameries Association. Their idea was simple: join together to effectively market and distribute members’ dairy production across the country. Today, our four businesses give us a farmer-to-fork view of agriculture. Paired with our co-op ownership model, we’re uniquely qualified to fulfill our purpose of feeding human progress. We’re looking for big thinkers and big dreamers to help us imagine the future of food and agriculture.Be a part of a Fortune 500, $17 billion farmer-owned cooperative that is actively shaping the food and agriculture industry for the better. Join us in solving some of the world’s most important food challengesSummary:The Senior data engineer will design & execute solutions and work with a team of engineers to ensure consistent, reliable, efficient and sustainable solutions are delivered. The data engineer will also contribute towards improving data management processes that result in highly accurate and trusted data assets for use in Animal Nutrition and across the organization. Required Education and Experience:Bachelor's degree in Computer Science, MIS, or related field4+ years of experience with SQL & data engineering techniques.4+ years of experience building data integration solutions using tools like Informatica, Talend, Mulesoft, Qlik, Snowpark, Snowpipe, etc.Strong experience in working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using various data integration technologies (ETL/ELT, data replication/CDC, message-oriented data movement, API design, etc.)Experience with DevOps, CI/CD pipelines and DatabricksHands on experience with programming languages such as Python, SQL to create automated processes for data gathering, cleansing, reporting, and visualizationExperience in working with Cloud data warehouse like Snowflake, AWS Redshift, Azure Synapse or Google BigQuery.Collaborate with cross functional team to resolve data quality and operational issues.Demonstrating best practices for code development and optimization, unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response in order to ensure data availability, data quality, usability and required performance.Required Competencies / skills:Ability to obtain a clear understanding of business needs and value, mapping out the solution, and working on its implementation.Ability to collaborate across all levels and areas of the product & business team as well as perform hands-on implementation.Excellent communication, presentation, and documentation skills, including the ability to distill highly technical concepts and communicate them effectively to non-technical stakeholders Capable of using agile methodology and implementing Continuous Integration/Continuous Delivery (CI/CD) pipelinesExposure to data vault method, model, and architectureAbility to monitor the overall data landscape: meta data, processing patterns, and data qualityAbility to work closely with developers and data analysts to design and optimize data access, query, reporting and analysis strategies to solve complex business problemsAbility to proactively communicate and manage technology and projects risksTroubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in challenging situationsEstablish platform-wide standardsPerform root cause analysis when there are issuesAbility to proactively communicate and manage technology and projects risksTroubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in challenging situations.Preferred Education and Experience:Bachelor’s or Master’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or a related discipline; or an equivalent combination of demonstrated skills and experienceExperience working with Qlik technologies (Replicate and Compose)Experience with any scripting languages, preferably PythonExperience working using agile methodologiesExperience in Manufacturing, Retail or Agriculture industryPreferred Competencies / Skills:Ability to work closely with business partners to influence decisions on technology investmentsAbility to provide technical leadership to evangelize best practices/proven patterns and promote the use of Corporate IT standardsWorking knowledge of data privacy regulations including GDPR and CCPA as well as how to design solutions to drive complianceDisclaimer: Land O Lakes is a client of ANSR. All employees will initially be employed by ANSR until Land O'Lakes GCC is operationally ready.