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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience and support of nextgen platforms and big data technologies such as Hadoop, Flume, Solr, HBase, Impala, Kafka, Spark, etc Experience working with Special Access Programs. Experience orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL) with emphasis on reliability, automation and performance Strong working knowledge of SQL.
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Experience with big data platforms, black box testing, cloud computing, disassembly, or global telecommunications system architectures and protocols, protocol analysis, ICS/SCADA design and systems, software debugging, streaming analytics, vulnerability management, or mitigation.
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Data streaming (Kafka, Flink, MSK, Kinesis) Big data ETL technologies (Apache Spark, MapReduce, Glue) Implement data lifecycle best practices—for data versioning, partitioning and indexing, & backup and archival, functioning as system owner and data custodian of the operated infrastructure.
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TBC meets the needs of consumers in search of total car care at more than 3,200 franchised and company-operated tire and automotive service centers under the brands NTB, Tire Kingdom, Big O Tires and Midas.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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We are in search of an Electrical/Computer Engineer to help us design, analyze, test and deploy pioneering electrical and electromechanical systems. and VHDL or Verilog, along with familiarity with modeling and simulation tools like SPICE, MATLAB/SIMULINK.
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An Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
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Management experience with these companies translates well to this opportunity: Walmart, 5 Below, Burlington Stores, Big Lots, Dollar General, Rural King, Gabes, Dicks Sporting Goods and Bed Bath and Beyond just to name a few.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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The Bloomberg Quant Platform (BQuant) is the frontier of our work – a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. Product Manager - Quant Analytics & Data Solutions - CTO Office.
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Able to quickly capture business requirements and translate in solutions using process data historian (such as dataPARC, OSI-PI) configurations. Minimum of 8 years of experience with process data historian (such as dataPARC, OSI-PI) best practices and ability to develop and implement technical solutions.
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The HMIS Manager and Data Analyst plays a leadership role in the coordination and evaluation of homeless services using the Homeless Management Information System (HMIS) and the Comparable Database for Victim Services, as required by the Continuum of Care of Homeless Services (CoC), under the leadership of the Office of Community Partnerships.
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We are the global leader in sustainable solutions for evaporative cooling, thermal storage, and heat transfer equipment with headquarters located in Jessup, Maryland and manufacturing located in Madera, CA, Milford, DE and Dayton, TN. The SAP Master Data Analyst is directly responsible for the support of SAP Master Data at Baltimore Aircoil Company, which encompasses multiple manufacturing plants throughout North America.
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Our arsenal includes advanced surveillance sensors, handheld devices, unmanned vehicles, lasers, and more solutions that increase operational effectiveness for warfighters, first responders, and search-and-rescue teams.
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