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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
$70 - $75 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design, develop, and manage the entire technology stack, including cloud hosting, graph database, data modeling/engineering, and APIs. Integrate Neo4j with Snowflake and AWS to ensure seamless data flow and compatibility.
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HDR is looking for a Data Center Electrical Engineer to join our Building Engineering Services team in Denver, Colorado. The Data Center Electrical Engineer will be responsible for designing projects from start to finish.
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Specifically, this experience must be in writing Big Data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Job titles: Chief Technology Officer, VP of IT, Director of IT, VP of IT Operations, Director of IT Operations, Chief Information Officer, IT Manager, IT Consultant, Chief Data Officer, Chief Security Officer, Technology Manager, IT Operations Manager, Information Systems Manager.
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Join our North America (NAMR) People Analytics team as a Data Engineer and become a cornerstone in the evolution of our analytics capabilities at Boston Consulting Group. Develop robust ETL processes in our Snowflake Data Factory using dbt, integrating data from diverse sources both internal and external.
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You’ll be supporting clients as they move their legacy manual data flows into data-driven automated workflows to support challenges not limited to:, Forest Management, Wildland Fire, Parks, Intelligent Transportation Systems, and Geospatial/Open Data Platforms.
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About the Role:The Data Center Engineer will provide technical support and triage on client server, storage, networking hardware both onsite and remote. CompTIA and Linux Certifications or equivalent desiredExperience working on server, storage, and networking hardware (Juniper, Cisco, Aruba, Fortinet, and Dell)Exceptional attention to detail and strong organizational and troubleshooting skillsProficient in service and repair of all systems (current, new, and updates)Experience with online productivity tools (i.e., ConnectWise Manage, WebEx, ServiceNow.
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Experience using tools for evaluation of data sets. As the *Modeling & Simulation Engineering Fellow*, you will participate in unique multi-disciplinary research across integrated product teams consisting of Guidance, Navigation and Control (GNC), Signal Processing and missile-and-sensor-level Performance Simulations.
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Description About the JobThe Admissions Data & Support Analyst is a full-time, non-exempt position reporting to the Assistant Director of Admission for Operations. This will include mass mailings to prospective student groups in Admissions and Student Life. Manage CUS Admissions Inbox to stay up to date on student transcripts/application items, vendor payments/contracts, data integrity reports, and general office communicationMaintain vendor records regarding past and future payments and due dates.
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Minimum of 3 years experience/knowledge with Data Management, Data Bases, and SQL. Ability to use data to make decisions. Acts as a steward for carrying out WGU’s mission and strategic vision by demonstrating effective and consistent commitment to learner-centered, competency-based educational support.
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About the teamWe are seeking a highly skilled Modern Platform Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads.
$110,000 - $175,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for an enthusiastic Senior GenAI and LLM Architect to add to Credera's Data capability group. Our ideal candidate is excited about leading project-based teams in a client facing role to analyze large data sets to derive insights through machine learning (ML) and artificial intelligence (AI) techniques.
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This will be done by leveraging tools such as Endpoint Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), database monitoring and encryption methodologies (at rest, in transit, masking etc.
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3+ years’ Experience with AWS Services like AWS RDS, Aurora, EC2, S3, DMS, AWS Backups, and DynamoDB. 3+ years’ Experience with the Design and deployment of Amazon Machine Images (AMI) for Database.
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Title: data Company: Simple Solutions in Denver, CO
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