351 to 375 of 971 Kafka Jobs

Test-Driven Development are essential. Experience in any number of additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) Recommended ...

environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code ...

preparation. Nice to have: Time-series forecasting or optimisation, ideally in energy Vector databases and lakehouse architectures Terraform, Docker/Kubernetes, or streaming (Kafka, Kinesis, Event Hubs) Cloud certifications Consulting or energy-sector experience What's in It for You? High Impact: Work on energy-sector AI solutions that ...

open/close the workspace during regular business hours as needed. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with K9s, AWS CLI and other AWS services like SNS, SQS and Diode ...

Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/ ...

payments systems and the complexities of cross-border money movement. Experience with identity and access management (SAML, SSO, SPIFFE, OAuth2). Familiarity with Kafka or other event streaming platforms. Experience in a platform team serving multiple internal or external consumers. Ability to explain technical decisions to non-technical people ...

Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security ...

forward to creating a bigger impact for our colleagues and customers. A bonus if you have Experience with Terraform, Kubernetes and AWS Experience with Kafka or any other messaging-oriented middleware Experience with reactive programming Exposure to the Payments industry domain especially Cards and other payment schemes) Exposure ...

Junction. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with K9s, AWS CLI and other AWS services like SNS, SQS and Diode ...

community. Our tech stack is fluid, but broadly you can find yourself working with: Typescript, Node JS, Terraform, Gitactions, Kubernetes, Docker, AWS, Kafka, GraphQL Responsibilities Design, build, and maintain scalable backend services using TypeScript and Work with event-driven systems and message queues to power real-time, reliable features. ...

experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern data architectures including Data Lakehouse and Data Warehousing solutions, alongside CI/ ...

domain-driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions. Event Streaming: Hands-on experience designing and operating Kafka, Kinesis or equivalent platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security and operational support. Data Modelling & Storage ...

Experience:Java & Test-Driven Development are essential.Experience in any number of additional technologies (listed below) is advantageous:KotlinCloud Technologies (Kubernetes, Open Shift)Messaging Technologies (Kafka, Solace, TIBCO)Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3)Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana)Desirable ...

payments systems and the complexities of cross-border money movement. Experience with identity and access management (SAML, SSO, SPIFFE, OAuth2). Familiarity with Kafka or other event streaming platforms. Experience in a platform team serving multiple internal or external consumers. Ability to explain technical decisions to non-technical people ...

building LLM-powered product features: retrieval, tool use, agent workflows, evaluation and observability of model output. Familiarity with Ruby/Rails, React, Federated GraphQL, Kafka, Kubernetes, Docker, microservices, and NetSuite. Experience in logistics, supply chain, marketplace, or other operations-heavy products. Design sensibility: comfortable making reasonable UI decisions without ...

Cloud & Modern Infrastructure: Working familiarity with cloud-native deployment patterns (Kubernetes, AWS/Azure telco clouds), containerized applications, and distributed high-scale data architectures (Kafka, ClickHouse). Standards Compliance: Familiarity with 3GPP performance management/trace specifications and TM Forum automation/service management frameworks. Business & Market Requirements Product ...

entering a new product area or market Knowledge of and experience with Java and Spring Boot, event-driven microservices architectures (for example Kafka) and relational databases Experience with, or a strong interest in, applying LLMs in production: data extraction, evaluation and observability, and guarding against hallucination Hands-on experience ...

coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients ...

with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

data processing within AWS. Hands‐on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Knowledge of implementing and maintaining Kafka-based event-driven services. Proficiency in either relational or NoSQL databases, with an understanding of database design, optimization, and management. Champion AI-powered development ...

based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality ...

people, head to our tech blog. What you'll be doingDesigning and building new features and enhancements using Java 21+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross-functional teams and stakeholders to shape solutions and align on priorities. Taking ownership of key technical ...

safety (PII, prompt-injection, content filtering). - Domain-Specific AI for AEC: BIM/IFC extraction, CAD or point-cloud processing. - Event-Driven Architectures: Kafka or Kinesis; schema registries (Confluent, AWS Glue); exactly-once processing. - AEC Domain Knowledge: Experience in the Architecture, Engineering, and Construction industry; familiarity with industry ...

process, not a pipeline You’re comfortable in the NGA stack or can get there fast: Go (backend), React/Next.js (frontend), Kafka/RedPanda (event-driven), PostgreSQL , running on Kubernetes (AKS) You communicate clearly with engineering leaders and product directors, this role shapes platform strategy, not just implements ...