Kafka：16,830 個職缺
瀏覽與 Kafka 相關的開放職缺。
Data Engineer 12
Data Engineer at Cummins building enterprise data products, pipelines, and curated datasets that support analytics, automation, and GenAI use cases across Supply Chain, Quality, Finance, and Product Lifecycle using Spark, Kafka, cloud platforms, SQL, and modern ETL/ELT tooling.
Data Engineer - Senior 6
Senior data engineer at Cummins designing and operating large-scale cloud data pipelines, data lakes, and ETL/ELT solutions using Spark, Scala/Java, Hive, HBase, Kafka, SQL, and NoSQL stores to deliver AI/ML- and analytics-ready data products across enterprise domains.
Data Engineer - Senior 4
Designs, builds, and optimizes reusable, governed enterprise data pipelines and cloud platforms for analytics, reporting, APIs, automation, and GenAI. The role spans SQL, Spark, Scala/Java, Kafka, Hadoop, ETL/ELT, data modeling, quality, lineage, and scalable data architecture.
Data Engineer 7
Cummins is hiring a Data Engineer in Pune to build and maintain enterprise data products—pipelines, transformations, and curated datasets—for Supply Chain, Quality, Finance, and GenAI use cases, using Spark, Scala/Java, Hadoop, Kafka, SQL, and cloud-based platforms in an Agile environment.
Data Engineer - Senior 3
Senior Data Engineer at Cummins leading design of cloud-based data and analytics platforms. Builds scalable ETL/ELT pipelines, data lakes, and AI-ready data products for analytics, reporting, and GenAI use cases using Spark, Scala/Java, Kafka, Hadoop ecosystem, and SQL.
Senior Data Engineer
Senior Data Engineer building international fintech data products — designing integrations with banking systems, building ETL pipelines into Data Lake/DWH, and developing BI data marts in Superset and PowerBI using PostgreSQL, ClickHouse, Python and Airflow.
Software Development Engineer II
Develops real-time, AI-powered fraud and abuse defense systems at global scale within Expedia's Fraud & Risk engineering team, building cloud-native decisioning and remediation platforms.
Senior Java Developer
Senior Java Developer designing and building B2B backend services and data pipelines for Ajax Systems' security product line. Core stack is Java on microservices/Kubernetes with messaging (Kafka), NoSQL stores, and AWS in a high-load, distributed environment.
Бизнес/Системный аналитик
Middle Business/System Analyst at IT company Lotsiya in Moscow, gathering and formalizing business/functional requirements, modeling processes with UML/BPMN, designing REST/SOAP and Kafka/RabbitMQ integrations, and coordinating with frontend/backend developers. Stack: SQL, Apache Kafka, RabbitMQ, DWH/BI.
AQA Engineer (Kotlin)
AQA/SDET engineer writing and maintaining backend autotests in Kotlin (with Java) for high-load federal services at an outsourcing firm, working 60% automated / 40% manual testing across PostgreSQL, HBase, Cassandra, Kafka and Elasticsearch stacks.
Data Engineer
Data Engineer at Numentica working remotely from Saidapet (Chennai, India) to automate data engineering workflows, build data infrastructure, design ETL pipelines, implement data governance and testing, and deploy cloud data solutions.
Senior Technical Consultant - Data Architect
Senior Technical Consultant / Data Architect at CACI Ltd advising on AI/ML and advanced analytics, designing Databricks Lakehouse and Snowflake environments, and leading cloud data platform migrations for enterprise clients.
System Analyst
System Analyst at Scalo (IT services) working remotely across diverse domains, designing integrations, modeling processes and producing technical documentation using REST APIs, SQL, UML/BPMN within Agile teams.
Аналитик ЦФТ
System analyst supporting the CFT Bank automated banking system and integrating it with Russian government agencies (FNS/FSSP). Day-to-day work centers on requirements analysis, technical specifications, integration design, testing, and incident analysis, using Oracle PL/SQL and Apache Kafka.
Data Engineer/ MLOpsE
This role develops, maintains, and optimizes ETL processes on banking platforms, deploys data-science models into production, and supports their operation. It uses Python, Hadoop, Spark, Airflow, data warehouses/Greenplum, Jenkins/Bitbucket/Git CI/CD, and container orchestration.