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Experience with big data infrastructure to include Hadoop, Accumulo, Elasticsearch, MongoDB and Cloudera EDH. Maintaining, troubleshooting, and configuring big data environments based on many open source and commercial products.
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Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
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We're breaking through the big, slow status quo with transformative technology that fundamentally changes and improves the world. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities.
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Act as the primary liaison and account manager for external data vendors and platforms, ensuring effective partnership and data integration. Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows.
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Knowledge of Databricks and Spark for big data processing and analytics. Design, implement, and manage Azure-based solutions, leveraging services like Azure Data Factory, Azure SQL Database, Azure DevOps, etc.
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Leverage big data technologies to process and analyze large datasets, particularly those encountered in a federal agency. You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis.
$120 - $175ExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Big data: Redshift, Bigquery, Presto, Athena, ElasticSearch etc. Contribute to technical designs and work with Operations teams to implement and support solutions to the data challenges we face in the music industry.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
$125,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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May research and recommend new tools and techniques for data analytics solutions including incorporation of Big Data and real-time analytics and data discovery concepts. May provide guidance for enterprise initiatives for data governance, metadata, data stewardship, data quality, master data management.
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Moonshot is seeking a Senior Data Manager to support USAID’s PSE Hub within the Bureau for Inclusive Growth, Partnerships, and Innovation (IPI). The Senior Data Manager will support PSE Hub’s implementation of its 2021 – 2025 strategy, which defines a strategic framework to scale and mainstream enterprise-driven development.
$99,200 - $139,395 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Prepare big data, implement data model(s) and develop database(s) to support the business solution(s). Identify business trends and problems through complex big data analysis.
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We are hiring a fully remote, direct-hire Lead Data Engineer position with full benefits, necessitating expertise in building ETL pipelines, proficiency in Apache Spark, and strong programming skills in Scala and Python.
$150,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency to manipulate data using R programming. Develop safety data review plans (SDRPs) with clinical reviewers in advance of initial scoping meetings. Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses.
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The team will rely on your expertise in automating the transformation and manipulation of data to generate insights on product complaints & adverse events for Amgen. Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, preferred Oracle, PostgreSQL, and Hive SQL.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
Up to $80 an hourFull-timeExpandApply NowActive JobUpdated 2 months ago
big data jobs Title: data manager Company: Accenture Contractor Jobs in Arlington, VA
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