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The Prime Data Centers (PDC) Sr. Mechanical Engineer reports to the VP of Engineering and is responsible for mechanical engineering efforts related to a portfolio of data center projects which can include new construction, phased expansion, retrofits and upgrades, acquisition conversions, MEFP (Mechanical, Electrical, Fire protection, Plumbing) equipment standards, development of design standards, processes, and procedures.
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Garner key insights from data and communicate these findings to key stakeholders to help make data-driven decisions; key technologies include SQL, Python, R, Tableau, Microsoft, and Google suite of tools.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Nurture and enhance our relationships with Field Managers, leveraging both quantitative and qualitative insights from data sources across the enterprise. Collect, model, analyze, report, and present large amounts of data with meticulous attention to detail.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience delivering solutions and insights on the Microsoft Azure platform with exposure to Azure Databricks, Azure Synapse, Azure Data Factory, PostgreSQL, Azure SQL DB, Power BI or Azure ADLS Gen2.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with a modern data stack, including tools like Snowflake, Looker, Airflow, and dbt. Configure data consumption tools such as Looker and Airflow to support self service analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Responsibilities: Serves as Data Steward dedicated to health care payer Claims data operations & initiatives Works collaboratively with other enterprise and business data stewards to align standards and share best practices; represents Claims data domain in enterprise workgroups and data steward communities of practice Leads Data Governance initiatives and collaborations with business and IT operational stakeholders to: ○ Document, define, maintain, and manage data standards and assets.
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Expertise in AWS cloud data architectures (RDS, S3 Data Lakes, Snowflake, Elasticsearch, Redshift, DynamoDB, Neptune) Client is hiring a Senior AWS Data Architect/Engineer with a strong expertise in HL7, to design and build our AWS Data Warehouse (data models, data architecture, data apps, data governance, data pipelines.
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Key Skills: Cloud Engineer (Azure) with experience in Databricks and data platform architecture. Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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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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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Proven skills with data center type infrastructure and structured wiring using Avaya, Chatsworth, Cooper B-Line, Corning, Panduit, Siemon, SystiMAX and similar products typical of a data center environment.
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data job in Denver, CO
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