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Experience programming in an AWS cloud environment. Amazon Web Services (AWS) certification. CACI is seeking a Data Scientist in the McLean, VA area. 2+ years of experience with machine learning, data cleansing, and statistical analysis.
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AWS Certified Solutions Data Analytics – Specialty. + Administrated PostgreSQL databases throughout the non-production (Sandbox, development, test, UAT, Training), pre-production (Staging) and production lifecycles in an AWS environment.
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Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies. Experience in design and development of ETL process using tools like ETL tools like AWS DMS, Glue, and Athena etc.
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Demonstrated experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure. Demonstrated experience creating, managing, and working in AWS resources (EC2, Lambda, S3, IAM, Sagemaker, etc.
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Familiarity with ML pipelines, data ecosystem and AWS technologies. Experience with cloud technologies in AWS (Amazon Web Services) or GCP as well as container systems such as Docker or Kubernetes.
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Should have good experience in Talend, SQL, AWS. Experience using AWS Cloud Platform. Experience using AWS Services - Glue, Lambda, EMR. Data Engineer responsible for creating complex Talend Data pipelines (Using TMap, TInput, TExtract, all kinds of Functions) , reading data from S3, writing to Redshift using Talend.
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Develop and architect scalable data pipelines and ETL processes using programming languages such as Python, Scala, frameworks like Spark, and AWS services like Glue, Lambda, NoSQL databases, Serverless workflow Orchestration using step functions.
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Knowledge of cloud platforms (AWS, Azure, or Google Cloud) and their data services. Experience with data visualization tools such as Tableau, Power BI, or similar. The ideal candidate will possess a Top Secret clearance and have extensive experience in designing and building complex data models.
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Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools. Engage in brainstorming sessions and propose innovative solutions and approaches that take full advantage of AWS cloud-native services and technologies to meet the evolving needs of the US Census Bureau.
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2+ years of experience using data visualization software, such as, Tableau Desktop or Power BI. 2+ years of relevant work experience in data science or data engineering in big data environments.
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Leverage a broad stack of technologies - Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more - to reveal the insights hidden within huge volumes of numeric and textual data. At least 1 year of experience working with AWS.
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Experience with streaming data ingestion and processing using tools like Kafka or AWS Kinesis. Develop and implement data pipelines, integrating diverse data sources into Snowflake using appropriate ETL/ELT tools and techniques.
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The ideal Data Scientist will have experience in creating and maintaining collection capabilities and deliverables within an AWS environment. TechFlow, Inc. is hiring a skilled Data Scientist to join our team, focused on working with large federal government customers to develop advanced machine learning models for predictive maintenance and resource optimization use cases in domains that include transportation, logistics, and smart energy solutions.
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Demonstrated conflict management, decision making and negotiation skillsProven ability to concentrate and demonstrate a capacity for learning technical concepts and adapting to new technologies quicklyStrong Cloud (AWS, GCP, Azure etc.
$120,000 - $261,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. - Architect and manage big data infrastructure using technologies such as Spark and Kafka.
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aws job Title: data in Falls Church, VA
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