576 to 600 of 1,091 Kafka Jobs

collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP More ❯

collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP More ❯

collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP More ❯

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly More ❯

e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly More ❯

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly More ❯

e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

working with dbt.3+ years of experience with orchestration tooling (Airflow, Prefect, Dagster).Strong programming skills in languages such as Python or Java.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).Familiarity with data governance tooling such as Monte Carlo, Atlan.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work collaboratively in More ❯

GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development, deployment, and monitoring on Kubernetes More ❯

GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development, deployment, and monitoring on Kubernetes More ❯

GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development, deployment, and monitoring on Kubernetes More ❯

GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development, deployment, and monitoring on Kubernetes More ❯

document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable More ❯

GenAI relevant techniques and tools Technical Requirements 6+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka 4+ years of years of experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions 2+ years of experience in Application development, deployment, and monitoring on Kubernetes More ❯

mandatory Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries) Hands-on experience with SQL, Python, Spark, Kafka Excellent communication skills, including a good working proficiency in verbal and written English About this Job Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain More ❯

management. Work closely with senior (Head of to C-suite) to shape the technical direction of the platform. Architect and document integrations using APIs, microservices, and event-driven patterns (Kafka). Manage multiple projects simultaneously. Produced well-articulated documentation. Ensure architectural governance, scalability, and security across all projects. Champion modern software design practices within Agile delivery teams. Balance new More ❯

valuation engines. Strong knowledge of object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities is a strong plus. More ❯

management. Work closely with senior (Head of to C-suite) to shape the technical direction of the platform. Architect and document integrations using APIs, microservices, and event-driven patterns (Kafka). Manage multiple projects simultaneously. Produced well-articulated documentation. Ensure architectural governance, scalability, and security across all projects. Champion modern software design practices within Agile delivery teams. Balance new More ❯

valuation engines. Strong knowledge of object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities is a strong plus. More ❯

valuation engines. Strong knowledge of object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities is a strong plus. More ❯

experience with orchestration tools (Airflow, Prefect, Dagster). * Expertise in Docker and Kubernetes. * Solid understanding of CI/CD principles and tooling. * Familiarity with open-source data technologies (Spark, Kafka, PostgreSQL). * Knowledge of Infrastructure as Code (Terraform, Ansible). * Understanding of data architecture principles. * Experience with monitoring tools like Grafana and Prometheus. * Strong leadership skills to guide teams More ❯

experience with orchestration tools (Airflow, Prefect, Dagster). * Expertise in Docker and Kubernetes. * Solid understanding of CI/CD principles and tooling. * Familiarity with open-source data technologies (Spark, Kafka, PostgreSQL). * Knowledge of Infrastructure as Code (Terraform, Ansible). * Understanding of data architecture principles. * Experience with monitoring tools like Grafana and Prometheus. * Strong leadership skills to guide teams More ❯

of working with complex, large-scale data applications Product-driven mindset and experience working in fast-moving, tech-focused organisations (e.g. start-ups or scale-ups) Additional skills with Kafka, Cassandra, gRPC, and microservices design are highly advantageous Open-source contributions are a plus This is an excellent opportunity for a Backend Software Engineer who thrives on tackling technical More ❯

pipeline orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine learning pipelines or AI model integration TO BE CONSIDERED... Please either apply by More ❯