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Architect solutions for the design and implementation of Big & Fast Data Infrastructure on AWS cloud using Kafka, Glue, Athena, Redshift, DynamoDB. Design the architecture for migrating on-premise data warehouse and data marts to the data lake and subsequent vending on AWS Cloud.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big data platform certification (GCP/AWS/Azure/Snowflake) Implementation and tuning experience in the big data ecosystem such as Hadoop, Scala, Hive, Pig, Spark, HBase, HDFS, YARN, Sqoop, NiFi, Storm, Impala, Hawk, Flume, Kafka, Sqoop, etc.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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The Senior Data Platform Developer, Infrastructure supports the existing big data infrastructure on Google Cloud Platform, Google BigQuery ensuring data is continuously and promptly available for analysis by the data science team.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Understand client technical problems, articulate, and detail the understanding and provide solutions related to AWS Cloud and Big Data Domains. Hands on experience on Cloud Technologies like AWS, Databricks, Airflow etc.
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AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, and Databricks.
$207,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, GoogleCloud, hadoop, HDFS, mapr and spark.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Cloud engineer/development experience on AWS/EMR cluster: Converting Spark application base on Hadoop to Snowflake. Proven experience on Hadoop/Big Data migration to Snowflake: Having Spark and Spark SQL.
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Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud and are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Matillion – data integration platform that integrates with data sources to ingest data into cloud platforms (e.g., AWS and Snowflake) and also transforms data into analytics-ready state with can be used by analytics and BI tools (e.g., Tableau, PowerBI, and Sigma.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with Big data technologies such as AWS EMR, Spark, Machine Learning (AWS SageMaker) and one or more cloud environments (AWS, Google and Azure) Experience with a modern Infrastructure as Code framework like Terraform, AWS Cloud Formation, AWS CDK, Pulumi, etc.
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Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable. We are looking for a Data Scientist who will collaborate with a multidisciplinary team to support our Prioritization and Triage engine.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP). Design, develop, and maintain data pipelines using big data technologies (Spark and cloud platforms Azure) with a focus on efficiency, reliability, and scalability.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
$118,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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