301 to 325 of 971 Kafka Jobs

Experience designing and developing robust and resilient event‐driven architectures. Experience in any number of additional technologies (listed below) is advantageous: Kotlin Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Mongo, S3) Cloud Technologies (Kubernetes, Open Shift) Observability Technologies (Open Telemetry ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation ...

architecture and solution implementation experience - Strong hands-on development experience with modern programming languages (e.g., Python, Java) and data technologies (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - 3+ years of AWS service suite, Infrastructure as Code (Terraform, CloudFormation), Security tools and frameworks, Compliance automation tool experience - Current, active US Government ...

building new systems, replacing legacy systems and renovating existing systems Strong skill set in SQL/Databases Strong understanding of Messaging tech like Kafka, Solace , MQ etc. Writing production scale applications to use the Caching technologies. The candidate will have systems (software, hardware, networks) knowledge required to define solutions ...

have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

building new systems, replacing legacy systems and renovating existing systems Strong skill set in SQL/Databases Strong understanding of Messaging tech like Kafka, Solace , MQ etc. Writing production scale applications to use the Caching technologies. The candidate will have systems (software, hardware, networks) knowledge required to define solutions ...

engineering culture and people? Check out our Tech Blog. What you'll be doing: Design, build and enhance services using Java 21+, Spring Boot, Kafka, Elasticsearch, Couchbase, SQL, Docker and GradleWork closely with Product Managers, Designers, Engineers and stakeholders to solve meaningful business challengesOwn features from idea through ...

workloads Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/Docker deployment, GRPC services, or cloud-based services. Experience with Kafka or other event processing/message bus. Experience with Workflow/Scheduling/State management. There will at times the need to balance project ...

APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. Cybersecurity: SOC workflows ...

have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

have hand-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters ...

Platform engineering Site Reliability Engineering principles Data & Analytics Experience with technologies such as: Databricks Microsoft Fabric Azure Data Factory Synapse Analytics Snowflake BigQuery Redshift Kafka Apache Spark Knowledge of: Data modelling Data governance Data integration Data migration Data warehousing Master Data Management Applications & Integration Experience designing solutions using … Additional Technologies (useful but not essential): Power Platform Azure OpenAI OpenAI Services Kubernetes OpenShift MongoDB PostgreSQL SQL Server Neo4j Elastic Event Hub Service Bus Kafka Confluent GraphQL FinOps Platform Engineering AI/ML Operations (MLOps) Data Mesh Data Products Digital Twin The suitable candidate will need National Security Vetting ...

maintaining backend services using .NET Core/ASP.NET Core on AWS, with a strong focus on serverless architectures and event-driven systems using Kafka/AWS MSK. The Senior Developer will also work with containerised workloads on Kubernetes, and have exposure to modern DevOps and CI/CD practices.The … them with backend services.* Develop and support AWS serverless solutions (e.g. Lambda, API Gateway, Step Functions, DynamoDB, S3).* Implement event-driven architectures using Kafka (preferably on AWS MSK) for high-throughput, near real-time processing.* Work with Docker and Kubernetes to build, deploy and run containerised services.* Contribute ...

Expert SQL and strong Python programming. AWS, Azure, or GCP; Redshift, AWS Glue, Azure Synapse, Azure Data Factory, BigQuery, Dataflow, Databricks, or Snowflake. Apache Kafka, Amazon Kinesis, Apache Flink, or Spark Structured Streaming. Data modeling, data vault, lakehouse, and data mesh architecture. Data quality, catalogs, lineage, API design, data ...

communicate complex technical ideas clearly, collaborate effectively with stakeholders and champion better ways of working. Nice to Have Experience with Docker, Java/Scala, Kafka, Pulsar, Azure Event Hub, Collibra, Apache Iceberg, Apache Arrow, PySpark or AI engineering technologies such as Snowflake AI, LangChain, LlamaIndex or Pinecone would ...

cloud, artificial intelligence, machine learning, or mobile Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies Exposure to cloud technologies, Splunk, Apache Kafka, and Grafana If you’re looking for a place where your leadership and ideas matter, join us at JPMorganChase and help shape the future ...

progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics. Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs. Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance ...

Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data Engineering, DevOps, DataOps, or a closely related ...

building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills ...

/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud‐native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

exchanges, trading venues, protocols, or market infrastructure. Experience developing collateral, position, accounting, market data, or reference data systems. Experience with Python. Experience with Apache, Kafka or other event streaming technologies. Experience using AI-assisted software development tools. Understanding of traditional financial instruments and financial market infrastructure. Our benefits include ...

ElastiCache).* Understand the AWS ecosystem and basic DevOps practices.* Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon SQS).* Think in terms of business and product impact, not only implementation.* Demonstrate eagerness to learn and share knowledge with others.* Show independence ...

contracts and schemas. Nice to Have: Hands-on experience with modern data transformation tools like dbt. Familiarity with distributed compute and storage platforms (e.g., Kafka, Spark, Snowflake, or Presto/Trino). Experience in product-led SaaS, fintech, or high-growth tech environments navigating complex event tracking or onboarding ...

about performance, cost, and access patterns in real‐world environments. Streaming & event‐driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics. Data quality, lineage ...