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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. What you’ll do:Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have an understanding of software and tools including big data tools like Kafka, Spark; workflow management tools such as Airflow.
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We operate multiple geographically disperse data centers, including two of the nation's largest healthcare data centers - both rated among the top five percent of data centers worldwide by MIPS.
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This opportunity is available to candidates who are Green Card holders or US citizens residing in AZ, TX, FL, GA, NC, SC, IN, or KY. Below are the details of the role: Job Title: Biomedical Data Analyst Location: Remote (Open Time Zone) Ideal Candidate: - Database, programming, and data visualization experience (e.g., SAS, R, R-shiny, Tableau.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Document the design and implementation of data access control within Databricks. Create detailed design of data access control mechanisms within Databricks using appropriate features.
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Must Have Skills/Attributes: Analytics, Data Mining, Oracle, SQL, Unica. Must be a strong SQL Coder with Data Mining Skills (Understands complex coding processes, i.e. joins-inner & outer, aggregating data, building temp tables, formatting data, and import & export processes.
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Role serves as one of the key global architect to focus on innovation in SaaS platform engineering, spanning infrastructure architecture through enterprise, application platform features, to accelerate our cloud data team’s delivery and solution quality.
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Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc. Experience with modern data tools: Snowflake , BigQuery, dbt, Airflow, dagster, Fivetran etc.
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As part of the SAP development team, superior knowledge of ABAP/4 report and dialog programming, form development, data dictionary objects, performance tuning and debugging, and data migration and extraction tools.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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data job Title: mail clerk in Irving, TX
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