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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Preferred] Experience with high speed distributed computing frameworks AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. [Required] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc.
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Proven experience as a Data Site Reliability Engineer or a similar role, with a strong focus on data infrastructure management. Google Associate Cloud Engineer or Data Engineer certification is a plus.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Modern ETL tools (Prefect, Airflow, Kafka, Spark, PySpark or similar) Job Title: Full Stack Software Engineer. It comprises software, data, and machine learning engineers as well as data scientists with diverse backgrounds and levels of experience.
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience With Distributed Message Brokers Using Kafka (required.
$140,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Java, J2EE, RESTful services, JMS, Kafka, SQL, SOAP, Apache ACTIVEMQ. The Site Reliability Engineer (SRE) will be closely working with Product Development team and be responsible for the overall reliability and availability of those applications.
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5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus. McDonald's is in search of a Data Engineer with a strong background in DevOps engineering.
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3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. As a Hadoop ETL Developer to support production (L3) in Treasury ADS, individual will be responsible for understanding design, propose high level and detailed design solutions, propose out of box technical solutions for resolving business problems and technical problems arise during the real time in production.
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Understand Hadoop, Spark, Python and other Eco Systems like Impala, Hive, Oozie, Pig etc., Autosys and UNIX Shell Scripting. Dexian is seeking a Hadoop ETL Developer for an opportunity with a client located in Chicago, IL.
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Hands-on experience with any high-speed distributed computing frameworks: AWS EMR, Hadoop, HDFS, Spark, Hive, Kafka Streams. 1+ years of experience developing cloud native streaming applications with Kafka.
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Middleware: IBM MQ, Kafka and Tibco FTL. Job Title: Windows Application Support Engineer. Expertise in deploying builds using Software Configuration Management tools, bootstrapped deployments, Jenkins, CHEF and Bitbucket and release management activities.
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Have familiarity scaling websockets, real-time messaging systems (Kafka, MQTT), and non-relational database systems like DynamoDB, networking, DevOps. Experience working as a Software Engineer on applications with continuous client connectivity is desired.
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5+ years of experience working in AWS (RDS, ElastiCache, Kafka, IAM, EC2, EKS, Route53) As the most senior Cloud Engineer on the team, we will rely on you for your deep expertise in cloud infrastructure, kubernetes and networking.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo in Chicago, IL
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