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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. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Containers: Docker, Kubernetes (k8), OpenShift, cloud storage, flannel. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase.
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Data-driven frameworks like Apache Spark, Apache Solr, Pandas, Apache Hadoop. Parallel and distributed systems like Kubernetes, OpenMPI, Apache Kafka, We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, 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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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Part-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop, program, and maintain applications using the Apache Spark open-source framework. Must be strong in Cloud AWS event-based architecture, Kubernetes, ELK (Elasticsearch, Logstash & Kibana.
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Drive the technical design for how we extend our Cloud based AI/ML platform to successfully encompass our current Cloud based Databricks Ray on Spark, Weaviate Vector Databases, and Containerized Ray on Kubernetes with a workflow that extends to running pre-training, AI training, fine tuning, and inference in the hosted Cloud GPU Compute services.
$241,000 - $362,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Required Technical Skills: Python, Apache Spark, Big Query, PySpark, Cloud Composer, Cloud Dataflow, Cloud Spanner, Google Kubernetes Engine (GKE), Solution Architecture GCP, GITHUB, Data Fusion.
Full-timeRemoteExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. 8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Docker, Docker Swarm or Kubernetes Backend technologies, like SQL and TimeSeries DBs. Apache Kafka, Apache Spark, Apache Storm or. Backend technologies, like SQL and TimeSeries DBs. Apache Kafka, Apache Spark, Apache Storm or Apache Hadoop.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
Part-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Candidates must be college graduates with broad technical knowledge encompassing as many of the following as possible: Python, C#, Java, Scala, Go, SQL, Pandas, Elasticsearch, Kibana, Snowflake, Docker, Kubernetes, Airflow, Argo, Spark and Hive. Some experience with visualization tools and Apache Kafka would be a plus as would some exposure to financial markets.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced Query Engine Architect to accelerate Apache Spark and related frameworks on GPUs. As Nvidia is leading the world in accelerated computing, we are building the next generation data processing ecosystem.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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4+ years of experience with container & image management (AWS EKS, Kubernetes, Docker) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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5+ years working with key open source big-data projects as a contributor or committer including Apache Spark, Apache Hadoop, Apache Hive, Apache Flink, Apache Impala, Apache Drill, Apache Calcite, and Substrait.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
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