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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.
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2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Responsibilities include solutions implementation from cloud-first thinking using Agile, Scrum, and Data Ops.
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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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Expertise with Google Cloud Platform, especially its data-centric tools like BigQuery, Cloud Functions, Cloud Storage, Dataflow, Dataprep, Looker, and DataStudio. By leveraging Python, AWS cloud, Google BigQuery, data science, and other technologies, you'll be driving a major transformation within U.S. News.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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7-10 years of data modeling experience with advanced SQL skills and familiarity with various databases, especially cloud platforms like Microsoft Azure, AWS, or Google Cloud. Familiarity with AWS cloud services such as S3, Athena, Aurora, RDS, Redshift, Glue, Lambda, EventBridge, SQS, and SNS.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$73,100 - $166,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud-based data platforms like AWS, Azure, or Google Cloud. Deploying and managing big data and cloud-based technologies to enable real-time and batch data processing.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Ability to monitor and operate Cloud data platforms. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, orSnowflake. Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, orSnowflake.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. Experience with Python, SQL, Scala, or Java. 2+ years of experience in data engineering, software development, machine learning or data science.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 4 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.
Part-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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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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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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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.
RemoteExpandUpdated 8 days ago
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