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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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The ideal candidate will possess extensive knowledge and hands-on experience with Palantir Foundry including its data integration, analytics and operational decision-making capabilities.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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Expert level knowledge of white space fit-outs including rack, cage, electrical distribution, and data cable infrastructure, reading/interpreting construction plans, one-line drawings, and construction specifications and global data center construction practices, including mechanical, electrical and IT infrastructure.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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Required) At least 5-6 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark. Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Bachelor's degree in data and Analytics, Economics, Computer Science, or related field. Python, R, and other programming tools for data and analytics. As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. Asuccessful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data. Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform.
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Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Data Science, Engineering, or related discipline. Collaborates with product business and data science team to collect user stories, translate into technical specifications, and implement data transformation, algorithms and models into automated processes.
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Bachelors University degree computer science/IT. Master’s in data Analytics/Information Technology/Management Information System (preferred) At least 3-5 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 2 years in GCP/Cloud based platform.
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Bachelor's degree in data analytics, mathematics, computer science, statistics, or related field. Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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Experience in data modeling, data ingestion pipelines, and data analytics. If you have a strong background in AWS and either Databricks or Snowflake, along with experience in data modeling and solution architecture, we encourage you to apply.
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data science jobs Title: analytics manager in Dallas, TX
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