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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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Experience with and understanding of logging in AWS. Experience with database development and data migration (Postgres and Redshift) Experience building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Preferred Experience: GovCloud development experience.
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Experience in databases (Snowflake, DB2, Redshift, etc.) Experience in databases (Snowflake, DB2, Redshift, etc.) Experience with AWS cloud architecture and development using AWS resources like S3, Lambda, API Gateway, DynamoDB, RDS, etc.
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G EC2, S3, EKS, EMR, RDS, Redshift. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
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3 to 5 years of experience with cloud-based database technologies (Amazon AWS S3, RDS, Redshift, Aurora/Postgres etc. Extensive IaC experience with tools such as Terraform, Ansible, Cloud Formation, etc.
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Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Experience with database development and data migration (Postgres and Redshift) Experience working as a developer writing Python code along with the Infrastructure as Code (IaC) required to deploy with either AWS CDK or Terraform.
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Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora. Focused experience in artificial intelligence (AI), including machine learning and natural language processing (NLP.
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3+ years of data warehousing experience with Redshift, Snowflake, etc. Experience using Airflow and Databricks. Our Washington, DC location, near the U.S. Capitol and the Chinatown metro, means you can easily access our offices using public transportation.
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Manage cloud-based database services on AWS (RDS, EC2, S3, Redshift). Experience with cloud platforms, specifically AWS (RDS, EC2, S3, Redshift). Professional Experience and Skills: Proven experience as a Database Administrator with expertise in Sybase ASE & Replication, Oracle, SQL Server, PostgreSQL, and MongoDB. Proficiency in operating systems including UNIX (AIX, Solaris), Linux, and Windows.
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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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Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. 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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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 yearPart-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Implementation of database/data lake granular access security, and access integration with Okta/Cognito.
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Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent) Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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Experience using AWS for data applications (e.g. S3, Redshift). This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled.
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redshift job in Washington, DC
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