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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc.) Frequency of travel is about twice a month, on average - This includes occasional travel for internal events (sales kickoff, technical summit), as well as for cloud security and DevSecOps industry conferences.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Architect and deploy advanced batch and streaming data pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamic hybrid cloud environment. Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience:Minimum of 3+ years in Analytics/Business Intelligence, leading projects, and building data solutions in a cloud environment. ResponsibilitiesData Expert: Serve as the go-to authority on data products, ensuring easy access and understanding for business partners.
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Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , CloudRun. Monitoring and Optimization: Very imp - Skills in monitoring data pipelines and GCP resources using Stackdriver (Google Cloud Operations Suite), and optimizing performance and cost.
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Hands on in Databricks SQL PySpark Expertise in data modelling data mappings understand the data model changes and propose the best practices and guidelines. Deep experience architecting and building data platforms on Azure with strong experience on Medallion Architecture Experience architecting and building data platforms on Databricks from scratch.
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WHAT YOU’LL DO Lead and contribute hands-on to major data engineering initiatives from inception to delivery. Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Job description Infosys is seeking an Azure Databricks Cloud Data Architect. At least 7 years of Information Technology experienceHands on experience in architecting Cloud data solutions using Azure Synapse, Databricks, Python, PySpark, SQLSignificant experience with Cloud Data lake technologies and complex data architecture and models.
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Recent, hands-on experience with Python & serverless frameworks. At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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We embrace cloud technologies, digitization, data assetization, machine learning, artificial intelligence, IoT, interpreted AI, robotic process automation, quality assurance, ambient computing and more Dynamics of the Role BBI is currently seeking a Senior Oracle DB - Engineer to join our customer in Chicago, IL Office.
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You're a hands-on developer who enjoys solving complex problems and building impactful solutions. T3 is the only cloud-based operating system that brings together construction workflows & data from constantly moving elements in one place.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Hands on experience in building solutions using cloud native services (Azure, GCP preferred.
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Experience within the transformation of traditional data center security measures into industry adopted cloud technologies. AWS Solution Architect Pro., Networking, and Security Specializations.
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hands on cloud architect big data jobs Title: architect in Chicago, Columbia, Missouri
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