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Distributed Compute: Spark/Databricks. Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Experience with AWS + Databricks Unity Catalog / Model serving.
Full-timeExpandApply NowActive JobUpdated 6 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.
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Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake.
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In this role you will work across our client engagements, providing expertise in cloud computing, such as Azure Cloud including AML, ADF/Azure Cloud, Machine Learning, NLP, Bigg data procession, Depp learning, Azure/Databricks/Data Lake, ADF, Python (data wrangling, joins, cleaning, visualization, statistical learning), Azure SQL, Git, Apache Spark (cluster computing/managing.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Frameworks: Flask, React, Tailwind, REST. causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. 8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Title: Spark /Scala/ Databricks,/AWS Consultant. Technical Skills- Spark Scala, Databricks, AWS. Nice to have technical skills include Azure Key VaultAzure Data LakeAzure MonitorKafkaDatabricks WorkflowStructured StreamingDelta Live PipelinesDatabricks UnityDatabricks CLIand Databricks Workspace.
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Similar Roles in the Marke t: Looks for Infra Cloud planner for Cloud service providers such as GCP, and within SaaS companies such as Databricks and Snowflake ; Demand Planner role for Compute infrastructure.
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Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics. Pyspark, Python, SQL, ADF and preferably Databricks experience.
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Good to have experience in Azure/AWS Databricks. Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experienced using Databricks & Apache Spark. Experienced using Databricks & Apache Spark. 204 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bring prior experience in Databricks or Spark. Bring prior experience in Databricks or Spark. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
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Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
$172,600 - $305,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in executing Scala/Spark code using Databricks framework. Risk IT-Apache Spark/Scala/Big data. Title: Bigdata Consultant (Apache Spark + Scala + Java) Mid exp level Developer : Java/Scala, Sql, Spark, Spring, Microservices, Distributed computing fundamentals, Cloud computing.
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Experience in spark / python (PySpark) / Azure products like Synapse, ADF, Databricks / Autosys. Experience in spark / python (PySpark) / Azure products like Synapse, ADF, Databricks / Autosys.
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