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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.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka) Atlassian is looking for a Data Engineer to join our Data Engineering Team. You will build top-notch data solutions and applications that inspire important decisions across the organization.
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Data Processing: Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. Streaming Data: Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams.
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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 world's toughest problems. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide and H&M — rely on Databricks' open and unified platform for data engineering, machine learning and analytics.
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Team player to build large scale, high availability, fault tolerant data analytics platform - Apache Spark ecosystem, Data Visualization and Advanced Analytics. Good to have exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark and integration with enterprise visualization framework.
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Cluster Management Big Data Apache Kafka Artificial Intelligence Apache Spark Virtualization Cloud Services Data Engineering Amazon Web Services Containers. Cluster Management Big Data Apache Kafka Artificial Intelligence Apache Spark Virtualization Cloud Services Data Engineering Amazon Web Services Containers.
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Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering (mobile, server and data), machine learning and data science, actuarial science on building industry-leading innovations that make Lyft safer by reducing the frequency and severity of accidents on the platform.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with BigData technologies like Kafka, Apache Spark, Apache Storm, Hbase, Cassandra, Elastic Search, MongoDB, etc. As we enter an era of 1 Billion+ AI and Data transactions per day, the Salesforce Starter engineering team is seeking engineers to lead our performance and scalability initiatives.
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We are hiring for a Front End or Full Stack Senior Staff Software Engineer/Principal Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development.
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Experience using Apache Spark (PySpark or Scala). As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
$157,250 - $212,750 a yearFull-timeExpandApply NowActive JobUpdated 6 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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Experience with Apache Iceberg, Parquet, Spark, Hive, Presto, Trino, and Avro. Reporting to our Software Engineering Manager for Platform Infrastructure, you'll help us tackle tough problems and improve our platform's reliability, resiliency, and scalability.
$141,400 - $228,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid understanding of modern data stacks, ideally in Spark, dbt, Dremio, Apache Iceberg and Arrow. Grow your career with a team of experienced engineers, using the latest technologies like Apache Arrow, to create the modern data and AI platform for blockchains.
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Bonus point for experience working with cloud data processing technologies (Apache Spark, Ray, Dask, Flink, etc.) You'll be part of the ML Platform team in Data Engineering, which aims to ensure healthy and fast ML in all of the 40+ ML use cases across Pinterest.
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Stay current with emerging technologies and industry trends related to data engineering. The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design.
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