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Experience with SQL and various database interface tools: SSMS, Oracle SQL developer, etc. Experience with Big Query, SQL server, etc. Knowledge: Python, Bash scripting, PySpark, AWS Services (Airflow, Glue, Lambda, others), Terraform, Databricks.
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Looking for 5+ years of hands-on experience of Workday reporting, PRISM analytics, Workday Web Services, Connectors; Studio and Orchestration (preferred), SQL. We are working with a top tier hedge fund that is currently looking for an experienced Workday Integration Architect to join their team.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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Data Pipeline Development : Design, develop, and optimize scalable data pipelines using Microsoft SQL Server, Snowflake, and Airflow. Proven experience in building and managing large-scale data pipelines, with specific experience using Microsoft SQL Server, Snowflake, and Airflow being a plus.
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In addition, is responsible for EDI activities, SQL database management and for managing all Middleware applications such as Biztalk, SSI, SAP PI/PO, SAP CPI and SAP Business Connector. Monitor, manage, and support EDI activities, SQL database management and all Middleware applications.
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Highly proficient in data management solutions (Oracle, SQL, Snowflake, SAS) and MS Excel with significant experience in manipulating large data sets. Responsible for developing, applying, and enhancing 2nd line Credit Administration credit risk analysis for Consumer Lending in support of and under the oversight of the overall Corporate Risk Management framework.
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SQL, Looker, Dashboard, Power BI, Tableau, Finance, Financial, Fintech, Financial Services, Trend Analysis, Analytics, Insights, Statistics, Stakeholder Management, Recommendations. Experience leveraging SQL from a hands-on perspective.
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Skills: Strong knowledge of SQL writing complex queries, performance tuning, Strong experience with Oracle, Snowflake, ETL/ELT tools Data engineering: proven track record of developing and maintaining data pipelines and data integration projects Orchestration Tools: Experience in Airflow for managing data pipeline workflows.
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Experience with Data warehouses - including SQL databases, Snowflake and/or Databricks. Experience with Data warehouses - including SQL databases, Snowflake and/or Databricks. or R, LLM, Machine Learning, Data Science/Engineering is a plus.
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Proficiency with SQL, Alteryx, Domo, PowerBI. As a Best Places to Work in Insurance Recipient for four years in a row (2020-2023), SageSure, one of the largest residential property insurance managing general underwriter (MGU) in the United States, is pioneering ways people protect their American Dream.
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Keywords: Chicago IL Jobs, Technical Operations Engineer, Linux, UNIX, Python, TCP/IP, Multicast, Multicasting, SQL, Relational Database Systems, Trading Infrastructure, Technical Operations Analyst, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Prepare property insurance policy data for catastrophe risk analysis using SQL and other data conversion tools, and run catastrophe modeling software for client and prospect portfolio analyses.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You can demonstrate experience in commonly used Business Intelligence tools, e.g. Alteryx, SQL, Tableau, Power BI, Business Objects, or other similar tools. Enhance current Data Quality framework to be more comprehensive and scalable; using Alteryx, SQL, PowerBI.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) The Senior’s primary responsibility is to leverage strong technical skills (SQL, R, Python, and Tableau) and healthcare industry knowledge (payor, provider, pharmacy, public health, epidemiology, etc.
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Technical proficiency in Python, PySpark, Spark, SQL, and Azure DevOps. Technical proficiency in Python, PySpark, Spark, SQL, and Azure DevOps. Bachelor’s degree in IT, Computer Science, Data Engineering, Data Science, Information Systems, or a related field.
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sql job in Chicago, IL
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