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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. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with "big data" systems or non-traditional databases such as Apache Spark, Hadoop HIVE, Cloudera Impala, Neo4J. Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success.
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Strong knowledge of GCP data architectures, Cloud Run, Data Flow, Cloud SQL, BigQuery, and microservices architecture is required. The ideal candidate will have expertise in data platform migration, data engineering modernization, and data architecture modernization utilizing multiple Cloud Platform Services (AWS, Azure, GCP, Snowflake.
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DC Water is seeking a contract or contract-to-hire IT professional to assist with Power BI and SQL Server reports execution, data validation and performance improvement. Experience in developing programs related to data transfer across multiple systems using SQL Server procedures, functions, and related development tools.
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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
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At least 1 year of experience in big data technologies. 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.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Design, develop, and maintain data pipelines using Azure Data Factory to ingest data from various sources such as SQL Server, MongoDB, and Blob Storage into Azure SQL Database and Azure Cosmos DB and Kafka.
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Prefer heavy utilization of Open Source coding and data manipulation languages such as Python, SQL and R. have experience working within the Palantir Foundry platform using Python for data management, analytics and modeling, and experience building dynamic visualization dashboards and graphics.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Strong knowledge of various database technologies (SQL, NoSQL), data integration (ETL/ELT) frameworks, data security (ZTA, ICAM, ACCM) and DoD cloud services (AWS, Azure, GCP). The Data Security Engineer is responsible for providing subject matter expertise to the Chief Data Officer (CDO) Directorate and to support senior level leadership within the Office of the Deputy Chief Information Officer, Special Access Program Information Technology (DCIO SAP-IT.
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Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A deep understanding of data science and machine learning best practices, development processes, and leading platforms (Databricks, SAS, Anaconda, Alteryx, etc.) and technologies (Apache Spark, Spark SQL, Python, PySpark, Scala, etc.
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Experience with data analysis, business intelligence tools, and scripting languages (for example: Google Cloud Services, BigQuery, SQL, Python, Spark, Scala, R, Power BI, or Tableau) You have a proven track record of storytelling through data to influence business strategy, gain stakeholder buy-in and drive outcomes.
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We’re seeking data scientist s who have domain knowledge or an interest in Big Data , machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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