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An understanding of data science and machine learning workflows is a bonus. A minimum of 2 years of professional experience in software engineering, data engineering, or analytics engineering.
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As a staff data engineer, you will take technical lead of a data management team that supports and enables our product, operations, analytics, and data science teams, amongst others.
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May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management. Strong data integration design and development, ensuring accuracy and ease of consumption.
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Bachelor’s degree in Statistics, Computer Science, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, Economics or a related field, plus four (4) years of experience in data engineering, development, and/or a combination of education and experience.
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The Data Engineer determines methods and approaches to projects, transforming business requirements specifications into programming instructions, designing, coding and testing programs. 5+ years of experience as a ETL/Data Engineer.
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 5+ years of experience prepping structured and unstructured data for data science models.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Partner with data scientists and stakeholders in data science, sales, marketing, and product to develop automated reporting and dashboarding tools. We're looking for an experienced Data Engineer with strong analytical skills to focus on designing and building reports and dashboards to support our data insights and analytics efforts.
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A proven track record of administration, engineering, and operationalizing Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases. As a Senior Data Engineer within this Data Services team, you will be putting your Databricks knowledge and experience to work as you collaborate with teams of Data Engineers, Infrastructure and Product Managers to build and maintain the new data infrastructure platform for all of Live Nation and Ticketmaster.
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The DataWorx team covers many data sub-disciplines, including data science, data analytics, data engineering and data management as well as specialist areas such as geospatial, remote sensing, knowledge management and digital twin.
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Keywords:Chicago IL Jobs, Data Engineer, T-SQL, C#, SSRS, SSIS, SSAS, Enterprise Data Warehouse, Visual Studio, PowerBI, GitHub, Cloud, Azure, Agile, Scrum, Data Science Tools, Epic, Meditech, Allscripts, Healthcare, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting.
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To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
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We're looking for a Data Engineer to join us for the Summer 2024 semester. Build streaming and batch data pipelines using Python, Kafka, Spark, Cloud (and more) which will provide insights to CCC's clients within auto property damage and repair, medical claims, and telematics IoT industries.
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Ob Description:Below are skills for the two data engineer positions: Required qualifications, capabilities, and skills: BS degree in Computer Science or certification on software engineering.
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Bachelor’s degree in data science, applied mathematics, IT or related fields. Keep up with the latest in data engineering, exploring, and adopting new technologies and tools to enhance the data pipeline.
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data science jobs Title: data engineer in Chicago, IL
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