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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Certifications in Information, Data, Privacy Records or Security such as: Certified Information Privacy Professional (CIPP), Certified Information Privacy Management (CIPM), Certified Records Manager (CRM), and/or Certified Information Privacy Technologist (CIPT), Certified Information Systems Security Professional (CISSP), Information Governance Professional (IGP), Certified Information Security Manager (CISM) and Certified Information Systems Auditor (CISA.
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5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or. statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Perform data analysis using R, statistics and data analysis, predictive analytics using SAS, and big data analytics and computer programming. Performing data analysis using R, statistics and data analysis, predictive analytics using SAS and computer programming; 3.
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
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Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect ! Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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Our tech stack includes SQL Server (on-prem), Azure SQL, Snowflake, Databricks, Azure DevOps, and Azure Data Factory. Other nice to haves: Azure Data Factory and/or Azure DevOps. We're looking for a dynamic SQL DBA to work in a hybrid-cloud environment, owning various data-related initiatives such as code deployments, configuration updates, performance monitoring, security enhancements, troubleshooting, and backup/recovery services for cloud.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. 3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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data entry jobs Title: staff accountant in Chicago, WI, Us
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