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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/Client, API GW, etc.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. - Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
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We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Leading and managing a set of engineering-driven initiatives from ideation through delivery to production of high impact digital transformation and platform modernization initiatives utilizing data engineering and AI/ML technologies, while optimizing Agile practices and methodologies to enhance speed, flexibility, and delivery efficiencyImplement robust data ingestion, processing, and distribution pipelines to ensure timely and accurate data availability across the organization.
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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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The position will involve collecting, processing, analyzing and interpreting a variety of hydrographic data including multibeam sonar, single beam survey tasks. · Collection and processing of multibeam and single beam hydrographic survey data.
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Our rapidly growing Industrial market encompasses a a broad range of projects that can span from Water/Wastewater treatment, Food & Beverage processing, Mineral Processing, Renewable Fuels, Pulp and Paper, Steel & Aluminum, Specialty chemical, Industrial Energy, Manufacturing, Automotive and Emerging Industrial Markets like EVBattery, Data Centers and Semiconductors.
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Highly proficient with multibeam and single beam sonar data collection. The employee will use this data to prepare hydrographic, engineering, geological and geohazard maps. In addition, Great Lakes is fully engaged in expanding its core business into the rapidly developing offshore wind energy industry.
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Experience with data center construction highly desired. Assist in field surveying and work layout support including elevation, control points, and compilation of as-built data. Assist in reviewing and analyzing historical data relative to the project, incorporating various productions and costs appropriate in preparation of a bid.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations.
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Manage and optimize Apache Spark pools for high-performance data processing tasks. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement.
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Acts as a liaison for data coordination and development support, serving as the central point of contact between the gift processing team, data analyst, and development officers, ensuring seamless collaboration and alignment of data insights with fundraising strategies.
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data processing jobs Title: data engineer sr Company: Palo Alto Networks in Pelham, New Hampshire
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