276 to 300 of 394 Remote Kafka Jobs

data modelling techniques and standard processes (Relational, Dimensional), plus any prior experience with data modelling tools (eg. PowerDesigner). Prior experience with Data ingestion tool sets (e.g Apache NiFi, Kafka) is advantageous. Experience with API’s, Python, Power apps is advantageous. Experience in Data Architecture (Database design, performance optimization). The Value you deliver Simplifying and effectively communicating technical More ❯

management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts More ❯

/PHI Required Skills: 5+ years in Data Engineering, 3+ years with Snowflake. Strong SQL, Python (Snowpark), and data modeling experience. Familiar with CI/CD (Jenkins), dbt/Kafka integration. Excellent communication and problem-solving skills. Nice to Have: Snowflake certification, healthcare domain experience. Location: Columbia, MD (Hybrid 2 days/month onsite)Type: 12-month Contract-to More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or More ❯