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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Lead the engineering team to integrate cloud computing, big data, AI and blockchain technologies, plan, design and implement electronic medical record system and medical big data platform, realize the collection, storage, governance, big model, AI analysis, knowledge mining, visualization and application integration of multimodal medical data of the whole treatment cycle of patients, lead the business modeling and system analysis of the system, and participate in the system architecture design.
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Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data. Develop and execute strategies that maximize the value of data science applications (e.g. in AI/ML, Computational Chemistry, and Biology.
$396,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience in different domains, like database architecture, artificial intelligence, machine learning, advanced analytics, big data, etc. Develop AI and Client pipelines in Databricks and different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Define and deliver consistent SQL standards, methodologies, guidelines & techniquesDiagnose complex problems, including performance issues and work with seniors for implementing long term solutionsWorking knowledge on Datawarehouse is a mustUnderstanding of Big Data Technologies is preferred, especially on Databricks implemented in AWS Cloud infrastructure.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data Architecture. Skill: Big Data Modeler / Architect.
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Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino) Has knowledge of data engineering best practices (data discovery, data documentation, infrastructure development/deployment, and information security.
$152,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL datastores. Conducts research in state-of-the-art deep learning models focused on EHR data, cardiac tools (ECG, imaging), and publish your novel findings.
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Big Data Modeler/Architect. Team is involved in the build out of a Data Lakehouse using Databricks, for the FX business line. Team also will be starting work to design the data model for the Silver Zone along with the mapping/migration of data from Bronze zone to Silver Zone.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data / Data Lakehouse / traditional RDBMS/data warehouse/mart. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Focused on software development life cycle, you will collaborate with the Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by technology.
$62.14 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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big data jobs Title: caregiver in Medford, MA
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