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Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Technical skills including hands-on SQL query, Exasol/ SQL data warehouse and Databricks/ Lakehouse environment, Python/ R/ modeling, data processing and visualization such as usage of Alteryx, Tableau, PowerBI and etc.
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AutoCAD and Ability to analyze large and complex data sets with Analytical Tools (e.g.: MS Power BI, Access, Alteryx). Warehouse design (i.e. layouts, elevations, rack systems, sizing, capacity, and wms system capabilities), and warehouse budgeting (labor, opex, capex.
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Assist with maintenance and management of Quality SQL database, Snowflake cloud data warehouse and ETL tools. Moderate experience with Python, R, Alteryx, Matillion or other ETL/Analytics platforms a plus (or similar applications.
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Experience in ETL processes and data warehouse design; including demonstrated success with one or more of the following: Kimball Methodology, Microsoft SQL Server, Snowflake, Azure Data Factory, Alteryx, SSIS, Azure Data Lake.
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Drive reporting through the use of available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform. Knowledge of master data, metadata, reference data, data warehousing, database structure, and business intelligence principles and processes, including technical architecture.
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The BI Developer will provide enterprise-wide data warehouse expertise emphasizing data design, access, usage, security, and quality of information assets. Alteryx or Python cross-database joins.
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Experience working in a data warehouse environment with diverse data sources and visualization tools like Tableau and Einstein Analytics. Build curated data feeds and prototypes leveraging enterprise data warehouse and other data sources into the F&S Data Mart.
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Computer Skills: Advanced Microsoft Excel user, Advanced PowerBI/Tableau or other data visualization software user, Alteryx and SmartSheet experience preferred, Project Management or Business Analysis experience preferred, Database/Data Warehouse experience preferred, Microsoft Office: Excel, Outlook, PowerPoint, Visio, Word etc.
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Data Science or Advanced Analytics experience with custom (Python, R, Spark, Databricks) or packaged tools (Zepl, Dataiku, DataRobot, Alteryx) At least 2 years experience building Data Lake or Data Warehouse solutions with Snowflake or Power BI. Scripting experience with JavaScript, Python, or Bash.
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Deeply understand all sources of data across the enterprise, link to data strategy, and continually evolve ability to measure and track key data points to enable data-driven decisions.
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Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, Google Cloud Platform), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Develop code in ETL tools, for the extraction, transformation, and loading of data from source systems to the data warehouse. Help maintain and support the data warehouse for data analytics platforms.
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We are looking for a Data Platform Governance Analyst to play a significant role in the implementation and operations of the Cargill's implementation of the data governance and compliance frameworks.
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Support data governance program adoption and effectiveness across the enterprise, aiding with program metrics and monitoring, program scoping and resource requirements, communication, collaboration, and ideation on improving program efforts.
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