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Hands on experience on data profiling, data modeling and data engineering using relational databases like Snowflake, Oracle, SQL Server; ETL tools like Informatica IICS; scripting using Python, R, or Scala; workflow management tools like Autosys.
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5+ years of hands-on experience in architecting Big Data applications using the Hadoop ecosystem, such as Hadoop (HDFS, YARN, MapReduce), Spark (Spark SQL Spark Streaming, MLLib), Pig, Hive, HBase, Sqoop, Oozie.
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Hands-on experience in Data Science with R or Python and familiarity with deep learning frameworks. 5+ years’ of hands-on experience with one or more general purpose programming languages Python/JAVA and Shell/Bash scripting.
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Experience in R, Python, SQL, or similar programming languages; Proficient in MS Office suite, particularly Excel/VBA and PowerPoint. Analytics background from insurance or finance fields; Consulting, economic capital modeling, catastrophe modeling, or reinsurance experience preferred but not required.
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Data work in R, Python, SQL, Excel and PowerBI including data cleansing/manipulation, EDA and model building. Experience with at least one coding language (SQL, R, Python, SAS, VBA, etc.
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Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Data processing programming using SQL, DBT, Python, and similar tools. Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala. and traditional database systems (i.e., SQL Server, Oracle, MySQL.
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As a Manager, Data Engineering you will support the design, development, and maintenance of business intelligence capabilities with special focus on SQL and Python as tools to create automated pipelines.
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Python, SQL, or another coding language. As a Trading Operations Specialist , you will join our Global Trading Operations team and provide dedicated support to DRW’s Agricultural and Energy trading desks.
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Using SQL, R, Python, and/or Tableau for data analysis Curious about Life at Levy? Twice named one of the 10 most innovative companies in sports by Fast Company magazine and one of the top three Best Employers for Diversity in America by Forbes, Levy’s diverse portfolio includes award-winning restaurants; iconic sports and entertainment venues, zoos and cultural institutions, theaters, and convention centers; as well as the Super Bowl, Grammy Awards, US Open Tennis Tournament, Kentucky Derby, and NHL, MLB, NBA, NFL, and MLS All-Star Games.
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Proficiency in technology such as Python, JavaScript, SQL, Power Shell, SSIS, and SSRS. Knowledge of Azure Synapse/Snowflake, Azure Data Lake Storage, Databricks, and enterprise data management platforms.
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Strong programming skills (e.g., Stata, R, SAS, SQL, Python). The Health Economist conducts policy-related research and evaluation studies in the areas of domestic health care program evaluation and research, including topics such as Medicare, Medicaid, and other public health insurance programs; innovative delivery and payment models; rural hospitals; aging and long-term care; health plan performance and quality measurement; telehealth; and health information technology.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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In this position, you will be utilizing Python, Pyspark, SQL, Databricks, Azure Cloud Services, and Snowflake. Design and develop Python & SQL based data pipeline solutions.
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Desired Skills Familiarity with Snowflake (Cloud DB), DBT, Kafka, Python, UNIX, Windows, file transfer utilities, process flow creation, ETL technologies, and Hadoop. Experience with databases like Snowflake (Cloud DB), Oracle, Netezza, MS SQL Server 2012+, DB2, and MS Access.
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