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Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS. Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Software / Robotics Engineer (Full-Time) – Yummy Future. TypeScript, Kafka, PostgreSQL, React, Ruby on Rails. Vouch is looking for a Staff Software Engineer to lead the Technical Foundations Team of Vouch’s engineering organization.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) (Full Time) Senior Software Engineer - Streaming at TRM Labs (United States) | BEAMSTART Jobs.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation.
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Open Source Frameworks - Spring boot, Spring CoreMessaging frameworks such as Kafka, Tibco EMS or JMSOracle PL/SQL JavaScript and scripting frameworks (JQuery, AngularJS)Hands-on experience in test automation at various levels of testing (unit, component, integration and functional tests.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Proficiency in Java, Spring Boot, Python, Kafka, GraphQL, and AWS Cloud technologies. The Media & Metadata Acquisition and Syndication Services (MASS) team is seeking a Senior Software Engineer to help us deliver excellent linear & streaming experiences for Hulu, Disney+ and ESPN as a developer of our metadata integration platform.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Including but not limited to Snowflake, BigQuery, Terraform, K8s, Cloud functions, Docker, Airflow, Jupyter, Kafka, Druid, Ansible. Experience utilizing site reliability engineering practices to build scalable and highly reliable software systems.
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Experience with streaming technologies and processing (Kafka, Redpanda, Spark streaming, Apache Storm, Flink) Software Engineer - Backend. We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
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Minimum of 5 years of experience in web application development or software engineering in a large enterprise environment using Java, including familiarity with modern frameworks and platforms (e.g., Spring, Docker, Kubernetes, Kafka.
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Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink; As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.
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Experience with Site-Reliability Engineering practices (such as observability and log aggregation) using technologies such as ELK Stack, Splunk, Kafka, Datadog, Dynatrace, other Application Performance Monitoring tools.
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kafka job Title: principal software engineer Company: Panalgo in San Francisco, CA
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