10 of 10 DynamoDB Jobs in the North of England

like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, LambdaWorking experience with TerraformExperience in creating workflows for Apache Airflow#LI-GL1What's Roku's approach to hybrid working? Roku fosters ...

Kong, Vault, SonarQube, Tenable, Prometheus, Grafana, and Splunk. Technologies AWS, Terraform, GitHub, GitLab CI, Concourse, Linux, Python, Kubernetes, Hadoop, Hive, Spark, EMR, Athena, Redshift, DynamoDB, MySQL, Vault, Tenable, SonarQube, Prometheus, Grafana, Splunk, Azure. ...

Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog ...

/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical ...

/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical ...

Strong hands-on experience with AWS Excellent TypeScript/Node.js and/or Python development experience Experience with AWS Lambda, API Gateway, SNS, SQS, DynamoDB, EventBridge and CloudWatch Practical knowledge of event-driven architecture Experience building scalable, serverless applications Strong API and enterprise/system integration experience Infrastructure … Code experience with Terraform and/or AWS CDK Experience with RDS or DynamoDB Knowledge of CI/CD, Git-based workflows and DevOps practices Experience with monitoring and observability tools such as Grafana, Prometheus and CloudWatch Exposure to unit and integration testing Robert Half Ltd acts ...

usage of data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts AI Statement We champion tech that helps people work smarter ...

enterprise Cloud Data Platforms (Snowflake, Databricks).Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB).Hands-on command of integration architecture, including APIs, Linux environments, SQL, and data pipeline technologies. Active experience leading/deploying AI initiatives, specifically enterprise adoption ...

collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines. Develop robust RESTful APIs … large, production software applications. Strong Python engineering skills, including dependency and environment management with Poetry. Hands-on experience with AWS, particularly S3, Athena, DynamoDB, Kinesis, SQS, ECS, and CloudWatch. Experience building RESTful APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform. Containerisation with Docker. Data ...

enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including APIs, Linux environments, SQL, and data pipeline technologies. Active experience leading/deploying AI initiatives, specifically enterprise ...