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Advanced experience with Azure using data warehouse technologies, including Azure Data Factory, Azure Synapse, Azure Synapse Analytics, Azure SQL DB, Azure Logic Apps, and Azure Analysis Services, Azure Databricks.
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As a Data Scientist, you will be responsible for performing data analysis, data visualization, and statistical modeling. This is a full-time on-site role for a Data Scientist at Advanced Solutions.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Possess an understanding of the mechanical, electrical, and fire life safety 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.
$27.3 - $40.9 an hourFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer). Title: Data Engineer - Remote.
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Ruggable is looking for a Product Manager who will oversee the design, development, launch and iteration of our data and analytics infrastructure. The Product Manager will be a key member of the data team and serve as a player in Ruggable’s growth.
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This technology leader will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools. Data Integration: Experience with Kafka and CDC tools (like Debezium connector) for real-time data synchronization.
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Data Steward/Project Manager – Remote/White Plains, NY – Contract. Data Manager/Project Manager – Remote/White Plains, NY – Contract. My client who is a leading brand within the CPG industry is currently looking to on board an experienced Data Manager/I.T. Project Manager with a strong data management and data stewardship background.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Developing and maintaining data warehouses in big data solutions e.g., Snowflake; developing solutions on cloud computing services and infrastructure in the data analytics space; leading the implementation and deployment of emerging tools and process for data engineering to measure quality; partnering with machine learning and business intelligence engineers to develop strategic enterprise projects.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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Proficiency in data structures, algorithms, and statistics A current enrollment in a PhD or Master's program specializing in machine learning, computer science, statistics, or a related fieldUsed Python packages to extract, structure, classify, and analyze data Knowledge of the theory and practice of standard NLP tasks and modelsA passion to learn and improve within the company and share knowledge with colleaguesBonus points if you have.
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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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data job Title: program manager Company: Quora in Chicago, IL
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