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Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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Familiarity with Linux, Kubernetes, AWS, Terraform, Prometheus, Github Actions, PostgresSQL, Kafka, InfluxDB, Scala and Rust. In this role, you will be primarily using and gaining experience in Linux, Kubernetes, AWS, Terraform, Prometheus, Github Actions, PostgresSQL, Kafka, InfluxDB, Scala and Rust.
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Hands-on experience & understanding designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue.
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Experience with large scale streaming platforms (e.g. Kafka, Event Hub, Databricks Live Table / Structured Streaming), processing frameworks (e.g. Spark, Databricks) and storage engines. Live Table Structured streaming, Kafka, Event Hub, Apache Spark.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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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.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Event Streaming, Kafka, MSK, Azure Event Hubs. batch manner (Kafka Streams, Apache Flink) - Exhibits relentless focus in software reliability engineering standards embedded into development standards.
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Experience with Agile, SCRUM, JIRA, Confluence, Kafka. FHIR, CCD-A, HL7, JSON, APIs (build and consume), Kafka. Experience with clinical imaging systems and devices (Fuji, GE, Ambra, Philips, Welch Allyn.
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Experience with large scale streaming platforms (e.g. Kafka, Event Hub, Databricks Live Table / Structured Streaming), processing frameworks (e.g. Spark, Databricks) and storage engines - stream analytics.
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We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Experience with streaming technologies such as Kafka and Spark. Taking full ownership of your work,from development and testing,to eventual deployment and support in production. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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Hands-on experience with Kafka or other live streaming technology is highly desired. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. We are looking for a skilled Engineer with exceptional DevOps skills to join our team.
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kafka job Title: development engineer Company: Ping
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