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Experience with data engineering tools such as Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government.
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Experience with enterprise cloud economicsUnderstanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)Hands-on expertise with SQL and SQL analyticsIndustry benchmarking experience in major industries such as: Financial Services, Retail, Travel and HealthMust Have Skills: DBT, Snowflake, SQL, PythonNice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great Expectations.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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Data Engineering: You will contribute to the team by developing our next-generation data storage and telemetry pipeline that collects and ingests terabytes of data per hour into a multi-petabyte data warehouse that powers our observability systems.
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) We are looking for a Senior Quality Engineer to join our data engineering team. 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue.
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The Autonomous Database Team is responsible for building the cloud service framework powering various Oracle Autonomous Database cloud services, including Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP.
$79,000 - $158,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Foster a culture of innovation by staying updated on emerging trends in data engineering, analytics, and business intelligence, applying best practices to enhance the data warehouse and analytics platform.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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QualificationsReq’d: Master's Degree in Computer Science plus 5 years' experience in large enterprise data warehouse application development for financial services companies. Experience must include 5 years in leading the development of large enterprise data infrastructure and pipelines using AWS technologies (including Cloud Formation, S3, Elastic Container Service, IAM, Redshift, Lambda, CloudWatch, VPC, Secrets Manager, Splunk), JIRA, Java, JavaScript, JSON, Jenkins, Oracle Database, Python, SQL, Agile practices.
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Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems). The Data Scientist will be responsible for leading end-to-end analytical models and data science framing activities, including but not limited to working with partners to identify fields, data provenance and integration, data quality assessments, and documentation of data processes and models.
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Using Navy financial tools, including Enterprise Resource Planning (ERP), NAVSEA Enterprise Planning System (NEPS), Budget Planning System (BPS), and Electronic Data Warehouse (EDW) conducts analyses, reports status, and advises the Business Financial Manager of strategies to mitigate financial risks on program close out.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Required Qualifications: 5+ years of experience working in technically complex environments, data warehouse, building REST APIs, microservices architecture, automated enterprise CI/CD tools and processes.
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Qualifications Minimum of 10 years of experience in a Data Engineering role, supporting warehouse and big data platforms/environments. Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks.
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The ideal candidate will be responsible for the design, development, and implementation of the extract, transform, load (ETL) and reporting of the data warehouse dataset, as well as determining data accuracy and determine optimal structure for analysis and reporting purposes.
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data engineering warehouse jobs in Mclean, VA
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