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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). · Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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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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PacketFabric Data Center Engineer THE ROLE: As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. (Customer, Data Center Operator, Telecommunications Vendor or Customer) Understanding of large scale data center environments (power, cooling, physical hardware, cabling topologies.
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A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Experience with data governance(data plex), data security, and compliance best practices on GCP.
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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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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Experience with cloud environments (e.g., AWS, Azure, O365) and technical implementation of data security and privacy requirements. Work with the general counsel and business teams to ensure both existing and new services comply with privacy and data security obligations.
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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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The Far Horizons program is currently doing fieldwork using two main instrument sets designed and built at the Adler: the GONet camera system, which collects all-sky nighttime environment data in the field, and the NITELite system, which is a high-altitude balloon-borne camera system that collects regional scale night-time images from the stratosphere.
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Data Center Construction Project Manager- Owner's Rep – Chicago, IL We are looking for a Data Center Construction Project Manager to support critical facility construction projects. The Construction PM will be responsible for all aspects of managing a data center construction project and act on the Owner's behalf.
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Previous hands-on experience with DSPs (e.g. DV360, The Trade Desk), DMPs (Adobe Audience Manager, Salesforce DMP, Oracle DMP), Media Management (Prisma by Mediaocean), Social Network Ad Managers (Meta, Snap, TikTok), SSPs (Index Exchange, Magnite, PubMatic) and/or Data Onboarding (LiveRamp, Neustar.
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Tableau or Python/R data visualization libraries. Data extraction, manipulation and processing skills in either Python (Pandas/Numpy), Matlab or R. Having Object Oriented programming skills (C.
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Data Evangelist: Promote data product adoption through training and webinars. Best Practices: Establish and adopt best practices for analytical insights, ensuring data integrity and usability.
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The CDO organization will serve as an accelerator to our Mars Snacking's next generation of data-led AI journey. With this in mind, we recently established the Chief Data Office (CDO) Organization to define and execute the end-to-end enterprise data strategy inclusive of data and platform governance associated with AI for the company.
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Title: data Company: Ancestry in Chicago, IL
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