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Knowledge of Jira, Git, Kafka, Kubernetes, Rancher, or Docker. Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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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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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$150ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Senior Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years of experience in application development including Python, SQL, Scala, or Java. Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Black Canyon Consulting (BCC) is searching for QA Platform Engineer (DevOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health.
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Hadoop/Big Data/Databricks Certifications. The position involves leveraging software engineering principles to automate data infrastructure operations, managing Azure Data Infrastructure and Services, and administering the Snowflake data platform with a focus on security and efficiency.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Our global teams work together, iterate constantly, and solve complex problems to help our 15,000+ customers deliver beautiful customer experiences powered by happy teams and healthy software.
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Use Microservices, NoSQL, Spring Boot, RESTful services, Cloud technologies, AWS, Java, Junit, Spring, Karate, Cucumber, Gherkin, Spring Security, Hibernate, Kafka, Angular, MVC, Jenkins, Git, BitBucket, CI/CD, HTML, CSS, SQL, Python, TCP, IP, JMS, IntelliJ, Giffy, Visio, Gradle, Maven, Postman, Jupiter, Selenium.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Experience with relational and non-relational datastores (Hadoop, SQL, Mongo DB), ETL or ELT tools (SSIS, Informatica, Matillion, DBT), DevOps, Data Lake and DataFabric concepts. Experience in Hadoop Migration to Databricks.
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Experienced with many or all of the following technologies: Python, Go, Scala, Java, Kubernetes, Docker, Terraform, CircleCi, GitHub Actions, Kafka, PubSub, Dataflow, Looker. As a Data Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform.
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Experience with technologies such as Kubernetes, Kafka, Spark, Airflow, AWS. We're looking for a Software Engineer to join our Data Foundation Platform team. Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo
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