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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. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$76,000 - $236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Working knowledge in cloud computing platforms such as AWS, Azure, and Google Cloud. Ability to analyze technical requirements and design new architectures, data models and ETL/ELT strategies Hands-on experience with cloud-based relational and non-relational databases and proficiency in SQL. Deliver work products that meet specifications, are free of defects, with excellent performance.
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Advanced experience with Amazon AWS or equivalent cloud computing platform, including Lambda, SNS, EC2, ASGs, ElastiCache, DynamoDB, RDS and CodeDeploy. Experience in developing and working with RESTful APIs that utilize cloud infrastructure such as AWS.
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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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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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3+ years of experience with a public cloud (e.g., Microsoft Azure, AWS, Google Cloud). Use cutting edge technologies such as Python, Scala, Spark, and a variety of Cloud services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Databases Experience working on a cloud platform like GCP, AWS, or Azure Experience working collaboratively with git DESIRED SKILLS & EXPERIENCE Understanding of Docker/Kubernetes Understanding of or interest in knowledge graphs Experienced in supporting and working with internal teams and customers in a dynamic environment Passionate about open source development and innovative technology The target base salary for this position is $185000-200000 USD plus bonus.
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Design, implement, and maintain data pipelines for both batch and streaming data sources in an AWS environment. Utilize a variety of tools including AWS Glue, Azure Data Factory, SQL, and Python scripts.
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2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) We are looking for a Senior Quality Engineer to join our data engineering team. Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.
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Technical Knowledge: Demonstrated knowledge with some of the following software/tools: Apache NiFi, AWS Cloud environment, Java, Python, NodeJS, SQL, R, Hadoop, PySpark, Java, Git, Bash, Linux/Unix based OS.
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Engage in brainstorming sessions and propose innovative solutions and approaches that take full advantage of AWS cloud-native services and technologies to meet the evolving needs of the US Census Bureau.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 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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aws cloud jobs Title: data engineer in Arlington, VA
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