Senior Data Engineer

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Job Description Description Technology is the next frontier of change in Agriculture and will be central to delivering step changes in sustainability and food productivity. Farmers can now control and gather information from equipment like tractors, applicators, satellites, drones, and field sensors remotely and in "real-time" using PCs, Tablets, and smartphones. This variety and depth of data rivals any industry, providing opportunities for financial, scientific, and geospatial analysis to predict outcomes and make recommendations like never before. By joining Wilbur-Ellis' digital team, you'll be challenged with delivering human-centered technology solutions that are changing the industry. You'll operate as a lean tech start-up within a company where you can chart your own path in a people-first work environment. Come grow with us! General Purpose and Scope of Position : The Senior Data Engineer is responsible for building quality data pipelines driving analytic solutions. These solutions will generate insights from the Farmer's connected data, enabling the Farmer to advance the data-driven decision-making capabilities of their operation. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. Key Skills and Abilities Include: Five years of experience working in data engineering or architecture role, Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred) Experience developing and maintaining data warehouses in big data solutions Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred) Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies Worked with BI tools such as Tableau, Power BI, Looker, Shiny or similar Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data. Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (Preferred) Familiarity with the Linux operating system (Preferred) Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, or 8+ years relevant industry software development experience Key Personal Attributes Include: Self-motivated with strong problem-solving and learning skills Highly motivated, organized, and a team player Flexibility to changes in work direction as the project develops Excellent communication, listening and influencing skills Specific Responsibilities and Key Deliverables Include: 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 help the organization's business to achieve their goals Create data products for analytics and data scientist team members to improve their productivity Advise, 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 the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve the organization's productivity as a team Develop and del

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