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AWS, Google Cloud Platform)- Familiarity with database technologies such as Graph databases, Kafka queues, Redis, Mongo and other non-relational databases. , Github, Bitbucket)- Experience with endpoint configuration tools, Managed Device platforms (Jamf, Workspace ONE) - Familiarity with securing data across SaaS and IaaS cloud platforms.
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We have helped builders across Amazon invent 7,800+ and growing experiences with our AWS-like, 1P data services which focus on the builder experience. We now have 5,000+ builder customer teams across AWS, Alexa, Payroll, Builder Tools, MyHR, A to Z, Clarity, GREF, Workplace Health & Safety, Time and Attendance, and more – over 75% of them are outside of People Experience & Technology (PXT.
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Must have + years of developing data centric application using Spark/Scala or Python running on EMR or AWS Glue. Must have data pipeline orchestration experience using self-created pipelines or using AWS step functions handling pipeline using Python based AWS Lambda.
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We are:A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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Experience with cloud technologies (AWS, Azure) a plus7. Experience with a RDBMS (SQL) or a NoSQL data store a plus4. Experience in modern programming languages like JavaScript, Typescript, Node, Java, Python, etc.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have experience using cloud-based platforms, like AWS and Google Cloud Services, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets.
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AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena. AWS Services: EC2, S3, RDS, SageMaker, Athena, Glue, Lambda, EMR and more. #DataEngineer #AWS #DHA #DoDsecret #DataIngesting #DataPipeline #Python #Terraform #ETL #dataintegration #bigdataanalyticspipeline #awsbigdata #hadoop #apachespark #RDBMS #awsdynamoDB #collaboration #diversity #equity #Inclusion.
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Object-oriented coding experience and shell scriptingInfrastructure knowledge:Linux systemsVirtualizationDockerKubernetesCloud (AWS/Azure/GCP)Experience in building solutions with Big Data tools and frameworks, some of:SQL DBsSpark, Hadoop, Cassandra, Redis, Mongo, Elastic.
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7+ years of experience in data architecture, including working with AWS tech stack, such as S3, RDS, RedShift, or Glue, and Databricks, Spark, Pyramid Analytics, and SAS. As a data architect on our healthcare team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for our foundational technologies, such as AWS tech stack, Redshift, Glue, Databricks, Spark, Pyramid Analytics, and SAS. You’ll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by partnering with data scientists, analysts, and business stakeholders to understand their data requirements.
$227,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery.
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Experience with cloud AI ML capabilities like AWS, Databricks. 5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADEMIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modeling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Python, SQL, Spark, and AWS (Lambda, Glu, EMR) notebook tools like databricks or Jupiter. Programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) MPP (Snowflake, BigQuery, AWS Redshift etc.) Data integration Tools (Informatica, Talend, etc.) Experience with data pipeline and workflow management tools (Airflow, etc.
$388,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Engineer within the AWS cloud data environment using Glue, EMR Serverless, Databricks, Snowflake, or similar technologies. Strong analytic, communication, and AWS cloud experience is required.
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aws job Title: data in Falls Church, VA
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