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Experience programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab. Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. MLFlow, Experimentation, Tracking, Productionizing and proficient in SQL.
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Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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Coordinate with HRIS and technology partners on data mining and collection utilizing SQL, R, Python, Excel, Microstrategy, PowerBI and other tools for analysis and presentation. Experience with statistical software/languages such as R, Python, Microsoft Azure cloud computing or other programs preferred.
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Lead quarterly compliance testing and accounting recommendations for dedicated Value Based Care (VBC) contracts.
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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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The Senior Data Engineer leverages various service category databases, data warehouses, and other technical applications (i.e. SQL, Snap Logic, Access, Snowflake, Python, Excel) to identify, analyze and propose solutions to support SPS consulting projects supporting our clients directly.
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The ideal candidate will have strong knowledge of SQL, Python, R, Snowflake, and Amazon Web Services (AWS). Knowledge of technologies such as SQL, Python, Snowflake, Tableau, and QuickSight for BI platforms.
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DE performing data analysis and profiling across subject areas within investment management and distribution in a financial services industry, using Microsoft Excel, Toad, SQL Developer, and MS Visio; and designing and developing robust data reconciliation processes to support data quality and completeness in a multi-year data migration project for an OLTP database, using Oracle SQL and PL SQL.
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Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT). Must Have Skills: AWS Cloud Development background, Terraform, Python Scripting Client / AI expPreferred Skills: AWS SageMakerHiring Manager Notes: Candidiates local /Relo ready to Smithfield RI are top Choice, Westlake TX will be reviewed later.
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Utilizes programming languages (SQL, Python, R) and tools such as Power BI to develop reporting solutions to track agent performance and ACD statistics within the contact center. Demonstrated experience producing data and workforce insights using programming languages (SQL, R, etc.
$90,500 - $135,700 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in working with big data processing tools like spark, hive, presto, etc. Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
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Strong programming skills in Python, Java. Solid experience with developing python-based APIs required (FastAPI / Flask). Superior SQL skills and experience performing deep data analysis on multiple database platforms.
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Ability to design, develop and deliver high level custom solutions using SQL, PL-SQL, RICE Objects [Interfaces, Conversions, Integrations and Extracts], Oracle Application Object Library, Oracle Forms 10g, Reports [Oracle Reports 10g, Discoverer Reports 11g, XML and BI Publisher Reports, OBIEE Reports and Analytics], Workflows, Oracle Application Framework, Java, XML, Scripting [UNIX Shell, SAMBA Client, JavaScript], Oracle Database 19c, and Oracle tools [JDeveloper, SQL Developer.
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