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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in big data technologies, e.g. Hadoop, BigQuery, MapReduce, Apache Spark. Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform.
$122,500 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Apache Spark, Java, Scala, Python, distributed systems, Kubernetes, AWS, EKS, EC2, S3, VPC, NLB, Ingress, automation, monitoring, Shell. Demonstrated experience with Apache Spark.
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Experience with Big Data platforms such as Apache Spark, EMR, EKS, Flink. Architect and implement ETL platforms with open-source technologies such as Spark on Kubernetes, EMR, S3 / SQS.
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Experience building distributed data processing applications using Apache Spark. Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow and Cassandra.
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Familiarity with tools like Apache Spark or Ray is a plus. What We Need To See:BS or MS Degree or equivalent experience 8+ years of Program management experience within same or similar industries Technical Expertise: Deep understanding of cloud infrastructure, distributed systems, large-scale ML/HPC workloads, Kubernetes, Slurm, and AWS services.
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Strong understanding of distributed systems and cloud computing principles; demonstrated experience with Apache Spark and its components, especially Spark Structured Streaming and related data stores (Iceberg, Delta, Kafka, etc.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. 8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more.
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Familiarity with other Big Data technologies, NoSQL solutions, Spark Streaming, Flink, Kafka, and cloud services (like Kubernetes, Google Cloud, AWS) Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies.
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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response.
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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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Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.
$157,700 - $213,800 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
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