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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required.
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This role is cloud facing and requires hands on experience in building and managing data engineering code in modern cloud-based technologies such as Google Big Query or equivalent. Prior experience with health information systems and/or patient financial service systems preferred Strong SQL and relational database design/development skills Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent.
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Skills: azure data factory (adf),azure data engineering,python,big data technologies,databricks,azure,pyspark,sql. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$50,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. We are actively seeking a senior data engineer with Generative AI experience who embodies energy and passion.
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In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE. Experience in designing MLOps platforms and architect big data systems on GCP cloud.
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Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query, etc.) Lead Cloud Data Engineer. This person will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and others.
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As a Staff Software Engineer working on our Data Infrastructure you will report to the Head of Production Engineering and Cloud Operations, and you will help us design and implement our big data and machine learning capabilities on Google Cloud.
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Qualifications: Required: Hands-on experience with web development using Java, Spring Boot, HTML5, Java Script, jQuery, CSS. Experience with React/Angular is a big plus. Qualifications 4+ years of full stack application development experience using Java, J2EE, Spring boot, Spring cloud, Spring Data JPA, Spring Integration, ReactJS/Angular, Node.js.
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Knowledge of big data platforms like Snowflake, DBT, AWS Redshift, Postgres, MongoDB, and Hadoop. The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
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Sr. Data Engineer. The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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Experience on Big Data technologies like Hadoop, Spark, any cloud platform like GCP, Azure, AWS, Snowflake. CVS Health is looking for an associate data engineer with SQL and Python experience who wants to join forces with a high impact team making a difference in customers' lives by reinventing how they connect with the most qualified healthcare providers in their area.
$61,800 - $123,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Implementing BIG-DATA platform for HIE interfaces using Mongo DB, Apache Spark, HDFS, Zookeeper, and Ambari. Converting the HL7 messages into necessary format and storing data in the MYSQL and SQL databases per architecture and making it easy for FHIR interface.
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big data jobs Title: engineer in Irving, TX
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