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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Leverage AWS Glue for automated data cataloging, schema discovery, and data preparation tasks.
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Infrastructure as Code (IaC) technologies such as AWS CloudFormation or Terraform. Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker.
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Integrate data pipelines with AWS Cloud services to extract meaningful insights. Knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Functions provided ensure that the systems meet the business needs of users and external clients to manage business processes for the World Bank. The current technology landscape encompasses Cloud-based data platforms (Azure and AWS), Oracle, SQL Server, Business Objects, Tableau, Cisco Information Server (Composite), SAP BW/Hana, Informatica.
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Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Azure, or another cloud service. Position DescriptionOur Senior Data Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the exit highest standards of protection and availability.
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Working knowledge in cloud computing platforms such as AWS, Azure, and Google Cloud. Learn more about Homes.com. Homes.com is growing quickly and we’re looking for a Senior Data Engineer to help accelerate our growth.
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Proven experience as a Site Reliability Engineer (SRE) or similar role, with a focus on AWS cloud infrastructure. Experience with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.
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Familiarity with distributed computing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). The Data Engineer must be a United States Citizen and hold a current DoD Secret security clearance.
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QinetiQ US is seeking a skilled Senior Data Engineer to join our team and lead the development of robust data pipelines in AWS for our data lakes and data warehouses.
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You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Kafka, CircleCI, GCP, AWS, Kubernetes, Docker, Firebase. We're looking for a senior data engineer to join our Data Science team and help build a modern data infrastructure that will be the pillar of the cloud-native banking future we are building.
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Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data.
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Advanced experience with Amazon AWS or equivalent cloud computing platform, including Lambda, SNS, EC2, ASGs, ElastiCache, DynamoDB, RDS and CodeDeploy. The Audience Technology group is looking for an experienced, talented and knowledgeable Senior Software Engineer to join the Data/Content Services team responsible for developing, supporting and maintaining our data and analytics products and services.
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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). As Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within EagleBank.
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Familiar with Amazon Web Managed Services (AWS). Expertise in various COTS, GOTS, and open-source tools which support development of data integration and visualization applications. Collaborate with the rest of data engineering team to design and launch new features.
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aws job Title: data engineer in Chevy Chase, MD
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