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Robert Half Big Data Engineer in Thomasville, Georgia

Description Position Summary

Work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Flowers Foods to advance the data-driven decision-making capabilities of our enterprise. This role requires 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. 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

Position Responsibilities/Major Duties

Responsibilities include but are not limited to:

 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

 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 process for analytic data engineering in order to improve our productivity as a team

 Develop and deliver communication and 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

 Ensure compliance with all company policies and procedures (EEO, Sexual Harassment, Sarbanes – Oxley, Safety, etc.)

 Perform other duties which are deemed to be an integral part of the position, including but not limited to fulfillment of work schedules, adherence to attendance policies, and other applicable operating rules, policies and procedures. Requirements MS SQL Server, SQL, Data Analysis, Data Analysis Tools, Data Analytics, Data Architecture, Data Warehousing, Business Intelligence and Data Warehousing (BI DW), Hadoop, BigQuery, Tableau, Power BI, Power BI, Hadoop Hive, Impala, Spark ML, Spark Hive, Spark SQL, Machine Learning, Machine Learning Methods, Machine Learning Models, Data Science, Azure SQL Database, Microsoft Azure

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