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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Required 5+ years’ experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes. Required 5+ years’ knowledge of modern Big Data and Data Architecture and Implementation best practices.
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Experience with AWS cloud native services for big data storage and processing. As a data management architect and data engineer, you will specialize in modern data and integration platforms such as Informatica, Reltio, Snowflake, and MuleSoft to connect, harmonize, and transform data to deliver relevant insights.
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Data engineer responsible for designing, developing the transformation and modernization of big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies also build new data products in GCP. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design and develop right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.
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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.
$218,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query). ● Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization.
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Familiarity with cloud platforms such as Azure, AWS, or Google Cloud, particularly in data services (e.g., Azure SQL Database, AWS Redshift) Cloud Certified DevOps Engineer (AWS, Azure, Salesforce, others.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Professional Search Group (PSG) has teamed up with a world class media and entertainment company to find an experienced Sr. Data Engineer to join the team in New York, where technology meets storytelling.
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Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent. Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
$136,032 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Deep knowledge of analytics technologies, modeling techniques, data streaming and other ingestion approaches, data warehousing concepts, cloud platforms (AWS preferred), and proven experience with data architecture including data pipelines, dimensional modeling, and dependency management.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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About Supermicro: 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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modern big data cloud computing jobs Title: salesforce engineer
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