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Dice is the leading career destination for tech experts at every stage of their careers. Essential skills include: excellent presentation skills, an ability to work with a diverse plethora of stakeholders, and an ability to analyze data.
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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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To learn more about the Crime Lab and Education Lab, visit The Role: The University of Chicago Crime Lab and Education Lab are seeking a Data Project Associate with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes.
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
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The Data Engineer is a key member of WellNows Data Operations team. Consume and process data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage systems) and file formats (Excel, CSV, XML, JSON, Parquet.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 6+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Bachelor’s degree in relevant field (e.g., urban planning, public policy, statistics, data sciences, economics, psychology, sociology, public health, public administration, social work) with advanced coursework in data analytics, statistics, or research methods, and 2 years’ work experience; or master’s degree in relevant field.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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The University of Chicago Crime Lab and Education Lab partner with cities and communities to use data and rigorous research to design, test, and scale programs and policies that enhance public safety, improve educational outcomes, and advance justice.
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Experience reference data management and middle office operations for financial service industry preferably asset management. Related Skills Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics.
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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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Computational Fluid Dynamics (CFD) Analysis: Utilize CFD to analyze airflow, temperature, and environmental conditions within the data center environment, providing recommendations for optimal performance and efficiency.
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Title: specialist data Company: Dice in Chicago, Bentonville, Kansas
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