/or NoSQL database technologies Expert knowledge of various messaging protocols and technologies such as REST, HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage More ❯
impact, we run our own services. Our current technical stack includes: backend services are containerised and provisioned into ECS clusters, service communication via Kafka (Confluent Cloud), infrastructure automation with Pulumi (Typescript), our infrastructure is hosted at AWS (most used: ECS, S3, DynamoDB, Aurora, OpenSearch), Github Actions for builds and workflow More ❯
6+ with Azure Services - Proficient in SQL Databases, No SQL, Cloud Datastores - Azure Functions and Durables functions with exposure to Azure Service Bus or Confluent Kafka. - Hands-on development & deployment using App Services & Azure SQL Database - Proficient in Cloud Native Deployment with CI/CD pipelines using GitHub Actions into More ❯
6+ with Azure Services - Proficient in SQL Databases, No SQL, Cloud Datastores - Azure Functions and Durables functions with exposure to Azure Service Bus or Confluent Kafka. - Hands-on development & deployment using App Services & Azure SQL Database - Proficient in Cloud Native Deployment with CI/CD pipelines using GitHub Actions into More ❯
various industries. Architectural Expertise: Strong expertise in designing and overseeing delivery of data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying More ❯
culture that fosters innovation, collaboration, continuous learning, and personal ownership. Publication Service DA Tech Skills: Designing systems that use Microservice style architecture. Schema Management (Confluent Schema Registry or similar) Understanding of Apache Kafka Concepts (broker, producer, consumer, etc) Data Modelling (aligned with Kafka topic design) Understanding of Cloud Infrastructure (AWS More ❯
division(s). Identify opportunities for upselling and cross selling all services to existing clients, contributing to revenue growth. Drive alliance partnership services (Salesforce, Confluent, Databricks, AWS) service new opportunities. Have focus on faster closure of the opportunity for revenue conversion. Needs Assessment: Work closely with clients to understand their … and SOW builds (can’t delegate) – if you get help from Ness, that’s a bonus Experience selling alliance partnership services (Salesforce, Databricks, AWS, Confluent) Must be willing to travel to named accounts onsite every-other-week minimum Willing to commit at least 3-years in role – we want sellers More ❯
division(s). Identify opportunities for upselling and cross selling all services to existing clients, contributing to revenue growth. Drive alliance partnership services (Salesforce, Confluent, Databricks, AWS) service new opportunities. Have focus on faster closure of the opportunity for revenue conversion. Needs Assessment: Work closely with clients to understand their … and SOW builds (can’t delegate) – if you get help from Ness, that’s a bonus Experience selling alliance partnership services (Salesforce, Databricks, AWS, Confluent) Must be willing to travel to named accounts onsite every-other-week minimum Willing to commit at least 3-years in role – we want sellers More ❯
