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Experience with one or more technologies, such as R Shiny, Databricks, AWS, Azure. The Data Engineer will primarily create and deploy robust, repeatable, and automated data pipelines that will ingest and transform raw data to support various advanced analytics and machine learning models.
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Required: 3+ years of experience in data software development, programming languages and developing with big data technologies 2+ years of experience designing and building on existing and new data applications 2+ years of experience in Cloud DevOps concepts, Cloud Services and Architecture, and Azure/AWS/GCP DevOps Operational Framework 1+ years of experience in open-source data tools and frameworks, or one of the following:.net Core, asp.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience with any major public cloud platform (AWS, Azure, GCP) is essential. Experience with major Public Cloud Platforms (AWS, Azure, GCP) As part of this dynamic team, they currently seeking Mid-Senior Data Engineers who are experts in Databricks, proficient in Spark, and skilled in Airflow for orchestration.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Relevant industry certifications (e.g., CCNP, JNCIP, PCNSE, AWS Certified Solutions Architect, Azure Solutions Architect Expert) are highly desirable. Hands-on experience with cloud platforms (AWS, Azure, GCP) and related networking services.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). AWS cloud services EC2, EMR, RDS, Redshift (or Azure equivalents.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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4+ years of experience building, scaling and operating cloud services in Azure (including Azure Functions, Azure Containers, Azure DevOps pipelines, Github actions, Github Codespaces, and Jupyter Notebooks) AWS, or GCP.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. We are seeking a skilled and motivated Data Engineer to join our Data & Analytics team.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience in cloud computing environments like AWS, Azure, or Google Cloud. Basic understanding of python, SQL, MySQL, Oracle, PostgreSQL, MongoDB, XML/JSON, or other languages/tools Experience with data modeling, metadata management, and data profiling.
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Familiarity with at least one public cloud platform (AWS, Azure, or Google Cloud) and understanding how Snowflake integrates with these platforms. Primary Skill: Snowflake and its features, ETL tools, SQL, Data ingestion using Python, AZURE Cloud, ADF.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
Full-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience using Databricks, AWS, Azure, GCP, Python. The Director, Data Engineer will be responsible for developing, executing, and implementing data strategy, including delivering solutions involving data integration, data governance and performance optimization.
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Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer). Develop and optimize data pipelines for our cloud-based data warehouse using Azure Cloud services.
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Familiarity with one of the large cloud computing services (AWS, GCP, Azure) MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services and consulting firm, is seeking a capable and motivated Software and Data Engineer for MPR’s Alexandria, VA office.
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Utilize cloud-based technologies such as AWS, Azure, or Google Cloud Platform for data processing and storage. Proven experience with cloud platforms (AWS, Azure, Google Cloud Platform) and associated data services.
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Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0; Azure Data Engineer Associate - Microsoft" AWS Certified Big Data - Specialty.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
azure aws jobs Title: data engineer in Washington, DC
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