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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, As a Senior Data Engineer you will contribute to the vision for data architecture and data quality across multiple company verticals.
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You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc. Use tools and programing methods to build scalable ETL framework that transforms and loads large volume of data to BQ data warehouse.
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Java/Spring/Spark/Big Data/Elasticsearch/Cloudera and Kubernetes. Job Description:Experience/Responsibilities:Full Stack Engineer with specialized focus on document management, automation and system integrationJava and Python experience requiredBig Data experience requiredExperience in developing microservices and familiarity with both open source and Microsoft dev stack of products.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In-depth working knowledge in a technology domain such as distributed internet-scale web applications, DevOps, Serverless, Big Data, Machine Learning, high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloadsSpecific Tech Stack knowledge in: Java, Spring Framework, Node.js, CSS, HTML5, React.
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Experience working with big data (engineering / processing) and data migration. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
InternExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. 5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric.
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Preferred Qualifications:Sound Knowledge of Software engineering design patterns and practicesStrong understanding of Functional programming and RESTful APIsExperience in Big data ecosystem using Hadoop, Spark, Scala, Python packages and libraries for large scale data is preferred.
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Implementation and tuning experience in Streaming use cased and Big Data Ecosystem (such as EMR, Hadoop, Spark, Hudi, Kafka/Kinesis etc.) Title : Sr. Data Engineer Location: Charlotte, NC (Remote – Must be able to work 9 AM-5PM EST) Duration: 12+ Months Role Type: W2 contract engagement Position Summary : Our Enterprise Data Products Team is seeking a Subject Matter Expert to help accelerate our deployment of Raw and Derived data products to AWS data lakes.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience with Observability/Monitoring/Logging tools: AppDynamics, Grafana, Big Panda, MoogSoft, Splunk, Netcool, Sitescope, Elastic, Kibana, Kafka, Traffic Manager, Message Processor, Filebeat, Basemon, etc.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with big data processing frameworks like Apache Spark or Hadoop. 8+ years of data architect / data engineer experience. The remote Senior Data Engineer will be responsible for designing and implementing scalable and efficient data architecture solutions, primarily on the Azure cloud platform.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred.
Work from homeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Experience in data and information management as it relates to big data trends and issues within businesses.
$139,000 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago
big data jobs Title: engineer in Charlotte, NC
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