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Containers, CloudFormation, Pagerduty, Jira, OKTA, Crowdstrike, Hashicorp, Perl, Json, Linux, Bash, Apache. Containers, CloudFormation, Pagerduty, Jira, OKTA, Crowdstrike, Hashicorp, Perl, Json, Linux, Bash, Apache.
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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems. In-depth knowledge of and the ability to perform advanced troubleshooting on macOS, Windows 10, VPNs, and SaaS applications (Okta, Google Workspaces, Slack, Zoom, O365.
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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.
$220,400 - $297,400Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We utilize a range of technologies including AWS SNS, SQS, EC2, S3, Secrets Manager, Redis, Apache Airflow, Docker, Flask, as well as PostgreSQL and Snowflake for our data warehousing. We utilize a range of technologies including AWS SNS, SQS, EC2, S3, Secrets Manager, Redis, Apache Airflow, Docker, Flask, as well as PostgreSQL and Snowflake for our data warehousing.
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Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response.
$220,400 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in operating a workload/workflow management system (e.g. Slurm, Apache Airflow/Beam/Flink) and developing distributed systems using asynchronous communication (e.g. Kafka, Kinesis) Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks.
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This team aims to address these challenges and enable customers to benefit from Snowflake’s rich features and integrated platform capabilities while embracing their choice of open table standards (e.g., Apache Iceberg), file formats (e.g.,Apache Parquet), storage solutions, and third-party open source tool set (e.g.,Apache Spark.
$214,000 - $327,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with commercial and/or open-source large-scale data processing, ML training and inference, storage frameworks, and platforms such as Apache Spark, Apache Flink, Ray, etc. - Working with streaming data processing frameworks such as Apache Flink, Kafka Streams, Spark Streaming.
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Experience in big data processing systems like Apache - Hadoop/Spark/Kafka/Flink. 2+ years working with Spark/Hadoop, and Presto SQL implementation and development. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics.
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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. Apache Spark, Java, Scala, Python, distributed systems, Kubernetes, AWS, EKS, EC2, S3, VPC, NLB, Ingress, automation, monitoring, Shell.
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Experience with data warehousing and relational databases including big data processing frameworks like Apache Spark or AWS as well as managing large-scale datasets using SQL or Hadoop. Experience with data warehousing and relational databases including big data processing frameworks like Apache Spark or AWS as well as managing large-scale datasets using SQL or Hadoop.
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Develop and adjust benchmarking suites and methodologies for various software technologies such as Java, Golang, open-source database, Apache Kafka, and machine learning applications. Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (Kubernetes, Docker.
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Experience with search engine platforms like Apache Solr, Elasticsearch, or Algolia. Apache Solr, Elasticsearch, or Algolia. Experience with search engine platforms like Apache Solr, Elasticsearch, or Algolia.
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Experience with building and optimizing machine learning pipelines using tools like Apache Airflow, Kubeflow, or MLflow. Experience with cloud platforms (e.g., AWS, Azure, GCP, OCI) and their machine learning services.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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