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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.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Enable Databricks Unity Catalog (UC) for lineage and governance. Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, Azure Logic Apps, Azure Function apps, Azure Cognitive Services, and Containers.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with building and optimizing data pipelines to extract data from various sources, transform it into the required format, and load using Databricks and AWS services.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Optimization of Spark jobs and Databricks clusters for better performance. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS. Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Databricks, Power BI) Experience with Apache Spark or large-scale data processing. Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS.
InternExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS. Proven Experience with Cloud and Big data platforms, building data processing application utilizing Spark, Airflow, Object storage etc.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Data Engineering - You have firsthand experience with database performance tuning, cloud storage and processing technologies (e.g. Redshift, S3, Glue, Lambda, Databricks, DBT), workflow orchestration (e.g. Dagster, Airflow), distributed computing (e.g. Spark, EMR), message queues and streams (e.g. Kafka, Kinesis.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in Scala, Spark, and/or Databricks or similar tools. In this role, you will be responsible for developing, integrating and validating metrics core to the success of our autonomous vehicle stack - the results of which support decisions, direct efforts, and provide clarity for large parts of Zoox. You will work cross-functionally with engineers in AI, simulation, infrastructure, and data science to push the boundaries of scalability and performance.
$179,000 - $226,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience working with Azure, Databricks and Data Factory. Experience with Azure Databricks and Data Factory. Experience with Big Data preferably Apache Spark. Experience with Apache Spark.
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Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow, and more to support a variety of requirements and applications. Implement and support streaming technologies such as Kafka, Spark, Cassandra & AzureML.
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