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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Experience working with Google Cloud, AWS / AWS AI and ML, AWS Lambda, Amazon Lexbots, and Microsoft Azure.
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Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery. Google Cloud Professional Data Engineer Certification is an advantage.
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Excellent knowledge of Cloud Infrastructure – Compute – Amazon Elastic Compute Cloud (EC2), Virtual Machines (VM’s), SQL – Amazon Relational Database Service (AWS RDS) or Azure SQL, Document Data Store (DynamoDb,Mongo), Security Groups, Subnets.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a Lead Engineer with the Retail Site Reliability Engineering team, you will lead Cloud and Big Data technology efforts. As a Site Reliability Engineer (SRE) with expertise in AWS cloud infrastructure and application monitoring, you will ensure the reliability, scalability, and performance of our cloud-based systems and applications.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. We are seeking a skilled Site Reliability Engineer (SRE) with expertise in AWS cloud infrastructure and robust application monitoring capabilities.
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). We're looking for an expert in data architecture, operations, and modeling, with strong experience in integrating advertising platforms and ecosystems, including DSPs, DMPs, Ad Hubs, and CDPs. Proficiency in Marketing Automation platforms like Marketo, and a deep understanding of Customer Data Platforms (CDPs),AWS, Snowflake are essential.
$260,150 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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As an engineer with the Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.
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As a engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Manage and optimize data streaming and API components in OpenShift Onpremise and AWS.
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Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure). Experience with big data technologies such as Hadoop, Spark, or similar.
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Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. At the direction of lead architects, develop and implement technical efforts to design, build, and deploy AWS applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
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Familiarity with data warehousing and cloud platforms (AWS, Azure, or Google Cloud). In summary, the client is looking for a data expert with strong technical skills across data modeling, database management, ETL, cloud platforms, and big data technologies.
$40 an hourExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and ‘big data’ technologies.
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As a Lead AWS Big Data Software Engineer at JPMorgan Chase within the Employee Platforms Work force Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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2+ Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure) STRONGLY Preferred. 2+ Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases like Snowflake.
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big data aws cloud jobs Title: engineer in Atlanta, Fernley, Nevada
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