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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data.
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As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. We are seeking a Lead Data Engineer to join our team of data experts.
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TRKKN is a full service provider for the Google Marketing Platform and Google Cloud with an interdisciplinary team of experts from the fields of Digital Analytics, Conversion Optimization, Ad Tech, Advanced Analytics & AI, Cloud Engineering and Tech & Data Strategy.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Direct experience with Mergers/Acquisitions, specifically O365 data migrations (email, Onedrive, SPO) and AD migrations is a plus. Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
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Role: Data Engineer. Solid experience with cloud data warehouse platforms such as Snowflake, Redshift, BigQuery, Synapse, Databricks, etc. Proven understanding of computer science fundamentals, data structures, and algorithms to ensure alignment to data engineering methodologies.
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Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake. Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Role: GCP Data Engineer. Minimum of 7 year of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Python, SQL etc.
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Power BI, OneStream, and Axiom experience or willingness to learn as we work to improve our reporting and data analyses. EPD supports a wide range of customer applications across the globe, including providing back-up power to hospitals, providing emergency power when natural disasters strike, and supporting critical infrastructure for data centers, municipalities, and more.
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The successful candidate needs to know AWS in and out, understand GCP and Azure, while also understanding the Cloud is not just a fractional lease data center but an Application Programming Interface (API) atop physical and real-world components we instrument to make technology look like magic.
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Perform routine data collection on machinery using vibration analysis tools. Analyze vibration data to identify patterns and anomalies indicative of machine health. Click HERE to review the SKF Data Privacy Consent Statement.
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Data Engineer Lead / Architect. Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr.
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This product will leverage data from Salesforce.com, Sage 100 MRP, Autodesk Revit, and other sources to create digital design drawings (CAD) of Nexii Inc.'s standard panels, mapping them to customer design needs and developing high-level estimates.
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High proficiency with Microsoft Excel, PowerPoint and Word with ability to quickly learn new systems - performance reporting, data/transaction aggregation, data analytics, CRM. Progress towards CFA, CFP, CIMA, CAIA or CTFA preferred.
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apptio data jobs Title: engineer in Irving, TX
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