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The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python) Mandatory Skills Advanced knowledge one of language: Java, Scala, Python, C.
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Proven experience leading Databricks migration projects and expertise in PySpark, Airflow, SSIS, Azure Data Factory, SQL Server, and Python scripting. Migrate existing workloads from SSIS, Azure Data Factory, Python, SQL Server, and other data processing and transformation tools without altering existing functionality.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Proficiency in programming languages such as Python, R, SQL with the ability to manipulate and analyze structured and unstructured data - including at least one of JavaScript, C#, or other web development tools.
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Mandatory skills: AWS, Azure, Python, Node. JS, Typescript, Angular, PL/SQL, API Testing. Job Title: Java- Oracle (PL/SQL) Developer. Java-Oracle (PL/SQL) Developer. Proficiency with server-side/mid-tier languages, frameworks, libraries, and related technologies: (e.g. Spring MVC/Spring Boot, Java, Go, Python.
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Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL, VBA, etc. Ability to code using R or Python for customer segmentation and data analytics.
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Showcases work experience as a Data Engineer, Data Architect or similar role, along with experience in programming languages including Python, PySpark, Scala, SQL. Identifies relational databases, preferably experience in working with databases commonly used in Maximo, such as IBM DB2, Oracle, Microsoft SQL Server, along with familiarity with Maximo's Integration Framework (MIF) and its capabilities for data integration and conversion.
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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel. 4+ years of proven experience in data analysis using core data analysis tools and languages such as SQL, Python, R, and Excel.
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4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience. Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Strong experience with Apache Spark and its components (Spark SQL, Streaming, MLlib, GraphX) using PySpark.
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We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team. Write reusable, testable, and efficient Python code. Minimum of 3 years of experience in Python development.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Proficient programming skills such as Python, R, SQL, etc. Strong background with either Scala (Java), Go, or Python programming experience. Stays up to date with the state-of-the-art technologies of LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
$157,000 - $243,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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