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Apache Hadoop or Apache Spark (for big data processing) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Proficiency in cloud technologies: Experience with cloud platforms (e.g. Azure, Databricks, Snowflake etc) and related services for data storage, compute, and analytics, with the ability to design and implement solutions leveraging cloud-native technologies.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Coordinate data collection, through database polling or data entry, from multiple FCs; and conduct analysis generating strategic and tactical interpretations. The Loss Prevention Specialist (LPS) is a key high-level hourly associate position in the Amazon Fulfillment Centers (FCs.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Participates as an active member of cross functional clinical study teams, program level teams, submission teams and provide expert guidance on CDM, CDISC and data quality. ·Ensure the activities described in the Data Management Plan (DMP) are executed in accordance with the DMP, including data acquisition, data transfer, data reconciliation and review, medical coding, data extract and rolling data freeze, data lock and database lock.
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The scope includes prediction of fatigue life, stress, displacement, and vibration, using implicit and explicit finite element (FEA) and/or multibody (MBD) simulation methods, and model correlation and calibration based on test data.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Job Title: Senior Data Engineer (Remote - California) Design and develop scalable data pipelines using tools like Apache Spark and Kafka. Familiarity with data warehousing solutions (Snowflake, Redshift.
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Experience using a modern data warehouse (e.g., Snowflake or BigQuery) for scalable and efficient data processing. Record of extensive data documentation, QA/QC, and data governance design.
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This role involves setting up and maintaining permanent data pipelines from diverse sources into our data fusion engines, specializing in drone data, satellite imagery, RF emissions, OPIR data, Ad tech, AIS, ADSB, CTV, and full-motion video data.
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Experience with big data and real time streaming analytics processing architecture. Serve as a subject matter experience to incorporate big data and real time streaming analytics in decision-making.
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Ability to analyze systems for data privacy compliance concerns, and to understand and solve business problems while managing associated risks and compliance requirements. Engaging in privacy-related projects, contributing your expertise to enhance our privacy framework and ensure robust data protection.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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big data jobs Company: Wegmans in Minneapolis, MN
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