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9,819 jobs found
10.06.2024
A

Amazon Big Data Engineer CorpFPA United States, Washington, Seattle

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Description:
DESCRIPTIONSeattle, WA, USABASIC QUALIFICATIONS 5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or...
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17.06.2024
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Amazon Big Data Engineer Chronicle United States, New York, New York

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Description:
DESCRIPTIONOpportunityYou will be part of a team of creative, top notch software developers to work hard, have fun, and make history. Software engineers at Amazon are more than just order...
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10.06.2024
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Amazon Big Data Engineer DP & - Revenue United States, Washington, Seattle

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Description:
DESCRIPTIONSales, Marketing and Global Services (SMGS)Key job responsibilities Excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to...
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09.06.2024
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Amazon Big Data Engineer II DP & - Revenue United States, Texas, Dallas

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Description:
DESCRIPTIONKey job responsibilities Excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the...
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08.06.2024
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Amazon Sr Big Data Engineer Global Finance Technology GFT United States, Washington, Seattle

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Description:
DESCRIPTIONKey job responsibilities Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications. Design and develop scalable big data pipelines to ingest, transform, and publish...
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31.05.2024
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Apple DevOps Engineer - Big Data Platform United States, Texas, Austin

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Description:
Experience operating and developing infrastructure and services in public cloud environments (AWS, or GCP). Experience with containers and container orchestration platforms such as Docker, Kubernetes or equivalent. In-depth knowledge and...
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09.06.2024
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Amazon Business Intelligence Engineer Big Data Platform United States, Texas, Austin

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Description:
DESCRIPTIONKey job responsibilities Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.BASIC QUALIFICATIONS Experience building measures and metrics, and developing reporting solutions Experience...
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Description:
DESCRIPTIONSeattle, WA, USABASIC QUALIFICATIONS 5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or...
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Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts, and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization. They are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop, Spark and Apache Kafka. They also have experience with data warehousing, data modeling, and data integration. Data Engineers are responsible for designing and developing data pipelines to move data from various sources to data warehouses or data lakes, they also ensure the data quality and make sure that the data is accurate and properly formatted. They also have to monitor and maintain the performance of the data infrastructure and troubleshoot any issues that arise. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery. In short, Data Engineers are critical to the success of any data-driven organization. They are responsible for the data pipeline, from the collection and storage of data to its processing and analysis, and ensure that data is accurate, available, and properly formatted to the right people at the right time. They also play a key role in building scalable, reliable, and efficient data architectures that are essential for data-driven decision making. They have the ability to work with different data technologies and tools and have experience with cloud platforms.