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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins, Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins.
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NET, Springboot, Camel, Kafka, MQ, JavaScript, Angular. Interest in defining highly performant and reliable integration patterns between cloud native microservices and legacy technology (COBOL, Smalltalk, IMS)Experience leveraging and integrating COTS and SaaS solutions.
$176,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
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Net Core, Kafka, Redis, Hadoop, ASP.Net MVC, Blazor, Vue.js, WPF, WCF, Winforms, Oracle. Net Core, Kafka, Redis, Hadoop, ASP.Net MVC, Blazor, Vue.js, WPF, WCF, Winforms, Oracle. As a member of this team, you will have the opportunity to work directly with the trading operations users to build this new platform using Microsoft.
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Net technologiesExperience with one or more message-oriented middleware solutions (RV, MSMQ, ActiveMQ, Apache Kafka, etc.) Relevant experience can be substituted for educationVisa Sponsorship is available for this positionAbout SIG SIG is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking.
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Hands-on experience with Java, REST, SOAP, JMS, Kafka, Hands-on experience with Java, REST, SOAP, JMS, Kafka, As Staff Engineer you will work independently and with your peers to translate customer needs into technical solutions You will do this through leveraging internal resources as well as prior industry experience.
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HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab , among many others.
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Experience with Big Data technologies such as Apache Spark, Kafka, Hadoop ecosystem. Experience with Big Data technologies such as Apache Spark, Kafka, Hadoop ecosystem. looking for talented and creative Lead Data Analyst.
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Collaborate with engineers to learn and use JavaScript, TypeScript, Kotlin/JVM, Google Cloud Platform (GCP), SQL, or Kafka. Collaborate with engineers to learn and use JavaScript, TypeScript, Kotlin/JVM, Google Cloud Platform (GCP), SQL, or Kafka.
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Experience with Docker, AWS and any Event Sourcing Architecture like RabbitMQ, Redis or Kafka are pluses. Experience with Docker, AWS and any Event Sourcing Architecture like RabbitMQ, Redis or Kafka are pluses.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Learn model-driven operations with Juju charms for Kafka, Hadoop, PostgreSQL, MongoDB, NGINX, and more. Demonstrate advanced Infrastructure as code (IaC) techniques relevant to telco (automation scripting, terraform, etc.
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kafka job in Philadelphia, PA
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