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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Databricks, Airflow, Redshift, S3, Glue, and EMR. 5+ years experience in engineering data pipelines using data technologies (Python, Databricks, pySpark, Kafka) on large scale data sets.
$147,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Passion for technology with a minimum of 8-12 years of software development and services experience, preferably with experience in cloud computing in Amazon Web Services (AWS), distributed systems, Databases (Oracle, Aurora PostgreSQL, ElasticSearch/OpenSearch), Kafka, Java/Kotlin, Kubernetes, Splunk, Wavefront, RESTful APIs, GraphQL and CI/CD.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD. Work in our core stack: Java / Kotlin / Microservices / Spring Boot / AWS / PostgreSQL. Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD.
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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. 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.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Full Stack (JavaScript, Typescript, Node.js)Do you love building and pioneering in the technology space.
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Exposure to Scrum framework Knowledge of message queuing technologies such as Kafka, Azure Service Bus, and stream data integration technologies or stream analytics technologies such as Apache Kafka KSQL, Spark Streaming and othersSkill in creating ETL solutions using SQL Server Integration Services (SSIS) or other equivalent technologies Skill in developing data warehouses and data marts.
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This role will require experience with multiple data sources, SAAS platforms, implementation, Backend development, database querying with technologies such as Java, KSQL/Stream Processing, data connectors/streaming technologies such as Kafka, performance tuning, data quality and data visualization knowledge.
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Expert knowledge of data engineering practices, tools, and frameworks (e.g., Apache Spark, Hadoop, Kafka). PRIMARY DUTIES AND RESPONSIBILITIESExtension of the Principal Engineer responsibilities, the Senior Principal Engineer role has the equivalent decision making and judgment as a Vice President, Engineering.
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Develop, test, debug, and implement software programs, applications and projects using cloud computing using Java, SQL, MQ, Kafka, and Spring boot. Cloud Computing; Kubernetes, Kafka, Azure/AWS.
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Build modular set of data services using Python, SQL, AWS Glue, lambdas, API Gateway, Kafka, data build tool (dbt), Apache Spark on EMR among others. Familiarity with timeseries database, data streaming applications, Kafka, Flink, and more is a plus.
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Develop streaming and batch processing solutions using Kafka, Apache Spark, and Hadoop ecosystem tools (e.g., HDFS, MapReduce). Advanced degree or relevant certifications (e.g., Certified Kafka Developer, Cloudera Certified Developer for Apache Hadoop) is a plus.
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3+ years of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity. 3+ years of experience with technologies such as Kafka, RabbitMQ, SQS, Ansible, Terraform, Docker and Kubernetes, Jenkins, Spinnaker, Azure DevOps, TeamCity.
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