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You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake. Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Demonstrated on-the-job experience with large-scale data migration from Oracle on prem to AWS Cloud environment.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server. Experience working with data visualization tools such as Tableau, Looker, or PowerBI.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Leverage AWS Glue for automated data cataloging, schema discovery, and data preparation tasks.
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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) 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.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrate the ability to access, trace, analyze, and remediate data issues leveraging SQL and applicable AWS tools such as Athena and Redshift. About the Role: The Data Engineer will be responsible for building reporting products and standard datasets, using an array of diverse technologies, including Tableau and AWS technologies.
$70 - $80ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
$171,500 - $195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud AI ML capabilities like AWS, Databricks is a plus. 5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure. 3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Integrate data pipelines with AWS Cloud services to extract meaningful insights. Knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Knowledge of various CMS environments or systems such as One PI, Fraud Prevention System ( FPS ) , Medicare Provider E nro llment, Chain, and Ownership System ( PECOS ) , Integrated Data Repository ( IDR ) , Chronic C ond itions Warehouse ( CCW ) , and CMS AWS Enclave.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud computing services (AWS, GCP, or Azure) A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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aws job Title: data in Mclean, VA
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