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Key Responsibilities: Cloud Security Architecture and Implementation: Design, deploy, and maintain security measures for cloud platforms such as AWS, Azure, or GCP. You’ll ensure that cloud environments are configured securely, applying best practices for identity management, access controls, encryption, and data protection.
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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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Conduct desktop studies by evaluating archival and academically available hydrographic and GIS data to characterize various ocean environments for bottom type and understand the oceanographic and geophysical processes involved.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Strong understanding and track record applying analytical technologies like SQL, Python, Tableau, Databricks, and Excel in a big-data environment. Bachelor's or advanced degree in a relevant field: Statistics, Mathematics, Actuarial Science, Economics, Engineering, Computer Science, Data Science, Business.
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CIP activities may include cause analysis, audit preparation, self-reports, mitigation plans, data requests, and other NERC activities. Or add your expertise to our supply and trading operations, brokering renewable electricity, green gas, commodities, and CO2 emission allowances from one of our advanced energy trading floors.
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. Strong understanding of CAN-SPAM, GDPR, and other relevant data privacy and compliance regulations.
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Our Stack: Golang, Linux, Kubernetes, bash, LibVirt, KVM, Python, MySQLOur Tools: GitHub, GitHub Actions, Bash, Jira, Slack, Grafana, Victoria Metrics, GSuiteOur Team: The person filling this position will report to the manager of the Fleet Optimization Engineering team, leading the Fleet Data mission.
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Experience importing and exporting data between platforms like Google Ads, Shopify, GA4, and Facebook Ads. We are seeking an experienced Paid Media Specialist who is driven, data-savvy, and eager to make a significant impact on our digital marketing efforts.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Our Engineering Technical Lead role for water and wastewater treatment plant engineering combines the elements of a technical design lead and a quality assurance leader, with a focus on technical training and development of staff.
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Position patients correctly and operate X-ray equipment to obtain high-quality images. We are currently partnering with a prestigious healthcare facility located North of Austin, Texas, to fill the position of X-ray Tech. Join our team and make a difference in healthcare.
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Experience working with data analysis and visualization tools such as MiniTab, JMP, Tableau. Title: Data Scientist / Statistician. Project management acumen and/or experience a big plus, to include schedule management and/or familiarity working within JIRA/Conflunece (Atlassian) suite.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Carry out general skills such as: soldering; pipe-threading/gluing/using pro-press tools and fittings; diagnosing mechanical issues with water treatment equipment and repairing; water leak detection and repair; performing basic water quality tests; changing out drinking water filters.
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big data quality jobs Company: Nationwide in Austin, KY, Missouri
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
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In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
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