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SedonaDB and Apache Spark are built in Java and Scala, with deeply optimized Python wrappers and SDKs, and are deployed on cloud-based Kubernetes environments. Make open-source contributions to Apache Sedona, Apache Spark, and other open-source software packages where necessary.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with relational databases and building modern data pipelines Hands-on experience working with cloud technologies (OCI, AWS, Azure, GCP) Familiarity with Big Data components like Apache Spark, Apache Hudi, etc.
$96,800 - $251,600ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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 25 days ago - UpvoteDownvoteShare Job
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Experience using Apache Spark (PySpark or Scala). Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Experience with Delta Lake and/or Databricks.
$157,250 - $212,750 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Apache Spark, Apache Airflow, and related technologies. Develop ETL and ELT processes using various data sources including from/to SQL and Oracle databases and Apache Spark Data Lake and Delta Lake.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Core: JavaScript, Typescript, React, Linux, Apache Druid, Postgres, NodeJS, Apollo Client / Server (GraphQL), AWS. You’ll meet more on the engineering team, like our CTO/COO, Lloyd Taylor, or Jonathan Chum, our Senior Director of Engineering, who can share more about Alembic and the role.
$133,200 - $179,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge of distributed computing frameworks, such as Apache Spark or Hadoop, for scalable data processing. Experience with data integration tools and technologies, such as Apache Kafka, Apache NiFi, or Informatica.
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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.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies.
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Understanding of Zero Trust IT security model such as Zscaler and Palo Alto Networks Prisma access solutions. promote knowledge transfer, transparency, enablement and mentoring of other team members, vendors, including maintaining detailed system documentation, contributing to monitoring and metrics for SRE functions and maintaining vendor relationships.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Beam. Proficiency in data pipeline technologies such as Apache Kafka, Apache NiFi, Apache Airflow, or similar.
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Large scale data warehouse projectsProgramming languages including Scala, MySQL, and PythonBig data environments including ETL, Apache, Hadoop, and ApacheSparkSoftware including Git, Tableau, and CubeIntegrated development software including PyCharm, VScode, and JupyterAgile tools including Jira and Confluence.
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
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Experience managing global procurement responsibilities, using a strategic sourcing methodology, including opportunity analysis and identification, supplier selection, risk and compliance evaluation, contract negotiation, and financial analysis.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow. Familiarity with Snowflake or DataBricks a plus. Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake.
ExpandApply NowActive JobUpdated 10 days ago
apache job in San Francisco, CA
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