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12.05.2024
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Amazon Big Data Engineer DP & - Revenue United States, Washington, Seattle
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...
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...
Minimum of 10 years of Software or Data Engineering experience. Minimum 6+ years of professional experience as a Big Data Engineer. Experience working with Hadoop/Big Data eco system and Distributed...
Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area. Design, develop, and run tooling to discover problems in data...
DESCRIPTIONCandidates for this position should have strong software engineering fundamentals as well as real world experience. You will be able to demonstrate a variety of architectural approaches and design patterns...
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...
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...
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.