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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 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Use this data streaming system to build identity resolution applications and data pipelines that exposes the data we collect in a reporting system, leveraging BigQuery, Dataflow, Pub/Sub and other related Cloud Technologies.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data - globally, nearly instantly and less expensively than legacy settlement systems.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
$176,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Good experience in Apache Spark. Our Data Engineering teams are at the intersection of business analytics, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, computation and data governance at tens of PB Scale.
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Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow.
$142,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with data technologies, such as Apache Spark, Kafka, dbt, and data warehouses, for handling large-scale datasets. Databricks, Snowflake, Confluent, Data Robot, H2O, etc.
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Role DescriptionDropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at DropboxDo you dream about Data and talk to your friends in SQL.
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In this key position, you will report directly to our co-founder and VP of Data & AI/ML, Cian Menzel-Jones. machine learning expert with 12 years experience working across a range of domains from finance, ad tech and search, with research driving over 500 academic citations.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working in Google Data Studio, Adobe T&T, Adobe Analytics, Google 360, Google Search Console, BrightEdge, SEM Rush, SEM Ranking. Ability to write content for SEO. Ability to develop content for SEO or advise on content development for organic channels Experience with Brightedge, SEM Rush, SEM Ranking, Google Console Extracts insight from campaign data, identifies relevant trends and provides well-developed proactive recommendations to enhance and exceed overall client search marketing goals and objectives.
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Capable of advanced data analysis, including statistical modeling, graphical representation, and KPI reporting, through tools such as PostgreSQL, Python, Data Studio, Amplitude, Mixpanel, Hotjar, and more.
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Work with our tech-stack: Python, Typescript, React, Postgres, Kubernetes, Elasticsearch. Learn new technologies from the best: Our team emphasizes a culture of continual learning and you will have opportunities to work on projects in machine learning, data engineering, back-end, front-end, DevOps.
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