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Develop, debug a, and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j. Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
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Integrate and optimize big data technologies, such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Hive, to create a robust and high-performing data ecosystem. Hands-on experience with big data technologies, such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Hive.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience delivering advance analytics solutions, reporting, and managing big data.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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GCP Data Experience Big Query, Looker, Data Flow, Data Fusion, Cloud Big Table, Cloud SQL, Cloud Dataproc. Java - 4, Big data Architect - 3, Spark - 4, ETL - 4.
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Familiarity with Data Lake Analysis and Data Analysis/Visualization tools: Office Suite (spreadsheets, slides, document editor) ELK/Grafana Matlab Cesium STK Jupyter Notebook/JupyterLab ETL tools (AWS Athena, AWS Kinesis Data Streams.
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This position is located at Matt's Big Breakfast inside Phoenix Sky Harbor, which is a breakfast restaurant that is open all day! We have an opening for a Restaurant Manager at Matt's Big Breakfast.
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Our Department has state-of-the-art Varian TrueBeam Technology utilizing a 6D couch with Brainlab Cyberknife and a Philips Big Bore CT. The latest addition to our advanced technology is Zap-X gyroscopic radiosurgery for the brain the first machine of its kind in the world.
$40.66 - $58.96 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has 4-8 years of experience in Java Development, Spring Boot, and big data (preferably Spark, Airflow, and/or Google Cloud). Responsibilities: As an Entry-Level to Mid-Level Application Lead, you'll use your expertise in Google BigQuery to design and implement effective data management solutions.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate effectively with colleagues on the infrastructure, healthcare data interfacing, security, service desk and tier-1 support, and electronic health records (EHRs) teams. Work with tools including Java Script, HTML/CSS, JSON, XML, Bootstrap, AngularJS, Jelly, REST webservice frameworks, API webservice frameworks, active directory federated services, SAML, oAuth, Public/Private key encryption framework, and Azure application and data hosting.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Experience with Big Data architectures, data lakes and big data ecosystem of tools (Hadoop, Spark, Hive, Storm, Cloudera, Hbase, HDFS, AWS stack etc.) Assist in the development of a Corporate Data Strategy - this strategy will include how best to leverage ETL, CDC, data warehousing, data marts, operational data stores, enterprise analytics.
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big data top tier jobs Company: Dice in Phoenix, AZ
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