1 to 15 of 15 Amazon Athena Jobs in the North of England

on several key HR practices including Diversity and Inclusion. Role : Data Lake Engineer Key Responsibilities Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift Deliver on-site technical engagements with customers. This more »

Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »

Services to tackle a huge new problem space. You'll be an integral part of building services that leverage AWS technologies like Fargate, Lambda, Athena, EMR Serverless, Glue, and more. You'll help design the overall architecture, you'll own large chunks of design and development work for various … life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race … geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

in Python or Go Lang. • AWS Services: Significant hands-on experience with AWS services such as EKS, EC2, S3, IAM, Networks, serverless, Lambda, DynamoDB, Athena, CloudWatch. • CI/CD: Experience with CI/CD platforms and creating CI/CD pipelines. Such as Jenkins, ArgoCD, GitOps • Containerization and Microservice more »

automating data tasks. Knowledge of CI/CD approaches for Data Platforms using Bitbucket and Bitbucket Pipelines. Knowledge of AWS data lake approaches using Athena & Apache Iceberg tables. Exposure to visualisation development using Power BI. Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. Experience in a more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications more »

automating data tasks. Knowledge of CI/CD approaches for Data Platforms using Bitbucket and Bitbucket Pipelines. Knowledge of AWS data lake approaches using Athena & Apache Iceberg tables. Exposure to visualisation development using Power BI. Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects. Experience in a more »

cyber security apprenticeships. The Project Ares platform offers a totally immersive experience, using automated features to support skills adoption with an in-game advisor, Athena, who advises our players through scenario-based challenges. The platform scenarios replicate the unpredictability and escalating levels of complexity that cyberattacks can present. It more »

Key Skills/requirements Proven experience as a Solution Architect, designing and implementing cloud-based solutions. Strong knowledge of popular data platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g. more »