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Linux, Docker, Kubernetes, AWS, Azure, GCP, IBM Cloud. Experience with the core suite of tools used to manage infrastructure and deployment of application in different cloud providers (AWS, GCP, Azure.
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Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Understanding of IaaS, PaaS, SaaS, and cloud networking in AWS, Azure, or Google Cloud Platform. Skills in Ansible, Puppet, Chef, and scripting languages (Python, Perl, Shell.
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Experience with cloud-based data quality solutions or platforms such as AWS, Azure, Google Cloud, etc. Knowledge in languages like Python, R, SQL, etc., for custom data quality checks or integrations.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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Architect and implement cloud-based data platforms and infrastructure using technologies such as AWS, Azure, or Google Cloud Platform, ensuring scalability, reliability, and security.
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By leveraging Python, AWS cloud, Google BigQuery, data science, and other technologies, you'll be driving a major transformation within U.S. News. Some experience with AI and ML services such as Google Cloud Data Lab or Cloud ML engines or similar services in AWS or Azure.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with Python, SQL, Scala, or Java. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) certifications. Hands-on data engineering experience building solutions to extract, load, and transform raw data in the form of several hundred, small data files and web scrapings with a variety of formats using a combination of Python scripting and AWS cloud services such as S3, Glue, Crawlers, Lambda, Step Functions, Redshift, DynamoDB, etc.
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7+ years of experience in application development including Python, SQL, Scala, or Java. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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4-5 years of demonstrated proficiency in the design and implementation of cloud native data architectures and solutions for data processing and pipeline orchestration using AWS/Azure services common to serverless architectures (AWS Lambda, API Gateway, Step Functions, etc.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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