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Experience with MS office suite (PowerPoint, Excel)Knowledge of research methodologies and statistical techniquesExperience with and understanding of data extraction and analysis tools including Clarabridge, Tableau, SQL, SAS, and Oracle Experience with unstructured data analysis, including text analyticsExperience with and understanding of various statistical methodsExperience with secondary sources and use of secondary survey research.
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Strong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala). Previous experience working with healthcare data analytics tools and platforms (e.g., Tableau, Power BI, SAS.
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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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Build Databricks notebooks using SQL, Python, Scala or PySpark programming languages for data transformation and loading in Azure Data Lake environment. Design and develop Azure Data Factory (ADF) pipelines to integrate data to Data Lake 2.0 by integrating data from multiple internal and external sources managed on Sybase, Oracle, SQL server and external files.
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Active Directory, SSL, FTP, Big-IP F5, T-SQL, MongoDB, MySQL, SQL Server, Nagios, Git, TeamCity, Octopus Deploy, Codefresh, Chef, Salt, Docker, Kubernetes, Kafka, Azure, Linux Server Administration, Bash, Apache.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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5+ years' experience working with SAS, R , SQL, Tableau along with relational databases. 5+ years' experience working with SAS, R , SQL, Tableau along with relational databases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas.
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Applied technology experience in 3 or more of the following areas: data management (Alteryx, Power Query), data visualization (Power BI, Tableau), document management and workflow (SharePoint, Power Automate), enterprise software (ERP and consolidation systems), Tax provision/compliance software (ONESOURCE, Corptax), cloud platforms (AWS, Snowflake), RPA (UI Path, Blue Prism), APIs, VBA/Excel Macros, SQL.
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Position requires: 1) Experience in a technical leadership role for large enterprise-class systems; 2) Java, microservices, J2EE, Spring, Spring Boot, Hibernate, GIT, and SQL; 3) Agile methodology (Scrum); 4) Containers and container orchestration using Kubernetes; 5) Dynatrace, Elastic Stack, Stonebranch, and MOVEit; 6) Restful API, NGINX, and Couchbase; and 7) Deploying applications in Azure cloud.
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Experience working with various Database systems (e.g., Oracle, SQL, RDS) Seeking a Highly skilled Full Stack Developer, Front End focused, AWS Cloud Engineer with deep knowledge of Okta Security product configuration and capabilities.
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Knowledge of databases such as Oracle, SQL Server, Azure MySQL, Redis, MongoDB, PostgreSQL, Cassandra. Act as a DBA and determine issues with tables, privileges, and performance-related activities on Oracle, SQL, and Postgres Databases.
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As the BI Manager, you will be initially focused on the tactical side of getting into Tableau and SQL and ensuring the backlog of reports is being addressed. Strong knowledge of SQL and data warehouse technologies, such as SQL Server, Azure SQL, Big Query, Synapse, and Azure Data Factory (ADF.
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Experienced Creating ETL processes using an ETL tool such as Talend , SSIS, SQL DBT. Develop and maintain stage and integrate data into our Data Warehouse Model through the use of complex SQL code, SQL DBT, and Talend Enterprises.
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