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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Deep expertise in modern software engineering practices, including agile methodologies, test-driven development, and continuous integration/deployment.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding of software security best practices, including threat modeling, secure coding, and compliance requirements. Familiarity with agile software development methodologies, including Scrum, Kanban, and Lean practices.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Python, Django, Django Rest Framework, JS, Typescript, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, kubernetes, Postgres & Redis. Expert knowledge of streaming event and messaging architectures (Spark, Beam, Kafka.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Application of technical knowledge to understand existing environments, current and emerging technology trends, software packages and technology vendor marketplaces.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Hadoop: Experience with storing, joining, filtering, and analyzing data using Spark, Hive and Map Reduce. Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
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Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc. Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Design and develop backend services and APIs using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka. Strong proficiency in backend development using Java, Spring Boot, Cassandra, Oracle SQL, and Kafka.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience with streaming technologies: e.g., Kafka, Kafka Connect, Kinesis, Beam, Flink, Spark. The ideal candidate will have a strong background in cloud technologies, data engineering, infrastructure as code, API design, and experience applying software engineering and DevOps best practices.
$212,450 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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 Today - UpvoteDownvoteShare Job
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Environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Perform data collection, analysis, validation, cleansing, developing software in support of multiple.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies, such as Hadoop and Apache Spark. Job Summary: We are seeking a talented and experienced Software Engineer to join our team at JLL. As a Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that leverage Azure, Databricks, Azure Kubernetes, Microservices, and Data Pipeline using PySpark.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena) Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Platform Product Manager with a broad understanding of AWS architecture and expertise in one of our core platform disciplines (Kubernetes, Istio service mesh, Kafka, MySQL/Dynamo databases, infrastructure provisioning.
Full-timeExpandApply NowActive JobUpdated 20 days ago
hadoop kafka jobs Title: software Company: Panalgo in San Francisco, CA
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