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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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San Francisco and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Lead Software Engineer, DevOps.
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They use Tableau and Quick sight for Data Analysis and Apache Spark for Big Data Processing. V-Soft Consulting is currently hiring for a Data Engineer - Remote for our premier client.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Advanced experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent) Our Senior Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico's core data use-cases across each of the company's business verticals.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical techniques. Provide insight to program algorithm development: Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems - includes data preprocessing, feature engineering, model training, validation, and evaluation.
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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. - High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Staff Site Reliability Engineer (IV) Staff Site Reliability Engineer. Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle’s infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
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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.
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Experience with implementation of modeling and simulation (either PDE-based fluid dynamics, ODE-based signaling models, or agent-based modeling) or bioinformatics / machine learning skills (project-dependent.
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machine learning apache spark engineer staff jobs Title: staff engineer Company: Lyft in Arlington, VA
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