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A minimum of 2-4 years of hands-on-experience developing and delivering solutions as a Data Engineer primarily in AWS technologies. XTIVIA is actively recruiting for a Data Engineer with a strong background in AWS data technologies to join our data team.
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Sr. Data engineer role with a major Financial Services company. - Sr. Engineer to help the design/build of the enterprise data platforms. Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data infrastructure and systems. 8+ years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, and Hive. Experience writing Python scripts for data engineering tasks. Experience with cloud-based data engineering tools and services.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Preferably in Azure Data Factory, Azure Databricks, Azure SQL, SQL Server Azure Data Lake. Experience with cloud-based technologies, preferably Azure, ADLS Gen 2, Data Factory, Databricks, and Synapse Analytics.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Data Engineer at Hinge, you will be working on an actual big data architecture, while concentrating on real-world problems. As a Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability.
$143,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Solid understanding of data engineering, data analysis, and data visualization disciplines.
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As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our client's data infrastructure and systems. Minimum of 3 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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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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Proven experience as a Data Engineer with a strong focus on the Azure, Databricks, and Snowflake data analytics technology stack. Senior Data Engineer is responsible for developing robust, scalable, high-performance data pipelines enabling the organization to extract valuable insights from large and complex datasets.
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Working Title : Data Engineer - Remote. The Data Engineer is responsible for application development supporting business objectives while providing moderate to complex level experience in software development lifecycle phases from concept and design to testing.
Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Certification: Google Professional Data Engineer. Knowledge or experience of designing and deploying data processing systems with one or more of the technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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Our division is currently going through a complete ERP transformation and is looking for a Data Engineer to support legacy and new ERP-based BI platforms. As a Data Engineer, you will be responsible for partnering with business teams, understanding business requirements for reporting and decision making, develop and support BI solutions.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Data Engineer (SME) will support the Army Acquisition community’s program office for Foreign Military Sales - Army Case Execution System (FMS-ACES). To support this program, the Data Engineer (SME) will have extensive experience in leading and developing data products (e.g., architecture, design) within the system/software development life cycle from requirements definition to architecture, design, implementation, and test, through deployment and operations, and support and preparing data for analytical and/or operational uses within a defined organization, function, and/or application context.
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Title: data engineer Company: Data Clymer
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