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Hands-on experience with Implementing Hadoop applications (, configuration management, monitoring, debugging, and performance tuning)-Previous experience with any of the RDBMS (Teradata, DB2, MySQL, SQL Server) Required Education: BS in Computer Science is a plus, but not a must.
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Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra) Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.
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Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
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Bachelor's degree in computer science, Information Systems, or a related field, or 5+ years of relevant hands-on experience. Deep expertise in Windows operating systems, Windows Server, Microsoft 365, Microsoft Dynamics 365 (D365), SQL Server, Oracle, and Active Directory.
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Must have hands-on data research/modification experience using SQL. Experience with SQL Server, SSRSExperience with Cloud Native (AWS) application is a plus. S&P Global Commodity Insights enables organizations to create long-term, sustainable value with data and insights for a complete view on the global energy and commodities markets.
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Lead the development for a Customer-Facing platform (C#, Oracle and SQL Server, Azure Cloud, React, and React Native) technical roadmap, resource allocation, and execution timelines. Hands-on knowledge with various integration and application development patterns, including SOA, RESTful, SOAP, Microservices, Dockers and CI/CD pipelines.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong hands-on Python development skills using Data science libraries such as Pandas, etc. Strong SQL skills using relational databases such as Oracle, SQL Server, DB2.
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Work Experience: 5+ years Developer, SAS (Statistical Analysis System), Python, SQL, Pandas, GIT, JIRA, Confluence, Azure, CloudBees, Jenkins, UrbanCode, UC4, AKS Azure Kubernetes Service. Working independently and as part of a small team, migrate existing code and workflows from Statistical Analysis System (SAS) to Python & SQL.
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Data visualization skills and hands-on experience using Tableau and/or Qlik with SQL skills. Experience writing SQL queries and scripts using relational databases like Teradata, Google Cloud, Oracle, SQL Server and pulling data from Hadoop/HIVE SQL/EDW data warehouses.
$217,000 a yearPart-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, SQL Server, Data Lake, file-based, SQL and No-SQL database.
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Masters degree or PhD in Math, Statistics, Economics, Engineering, Computer Science, Business Analytics, Data Science, or a related field. Performing advanced analytics, modeling and data mining to develop insights on our business.
$217,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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You believe that the best decisions are based on data, and you're the one that knows how to tease out the key learning within a dataset. Productionizing ad-hoc data requests and exploratory analyses executed elsewhere on the NBx Performance team that have exceeded the usefulness/reusability threshold.
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5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision and AR/VR visualizations.
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Validating the output of delivered reporting, ensuring data integrity, diving deep into back-end data where needed, and capturing/submitting any defects identified. You proactively research emerging developments in data mining, analytics, and visualization and apply what you learn to the projects at hand.
$217,000 a yearPart-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Master’s degree in computer science, data science, systems engineering, software engineering, or information systems. Strong understanding of data science concepts. The Data Environments and Engineering Department (L146) in the Data and Human Centered Solutions Innovation Center is seeking highly motivated, adaptive, and enthusiastic candidates with a wide variety of interests and a foundation of skills in systems engineering, software engineering, information systems, or data engineering to join our department as a Senior Data Engineer.
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