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Knowledge and experience working with Spark or Databricks is a plus. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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3+ years of experience implementing data pipelines and cloud data transformation processes using latest technologies and techniques, including Azure Data Factory, Event Hub, Azure Devops, Databricks, Azure Storage/Data Lake, Azure SQL Database.
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Experience using emerging technologies (Snowflake, Databricks, Synapse, etc.) Experience using emerging technologies (Snowflake, Databricks, Synapse, etc.) Strong hands-on programming experience with SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc.
$95 - $105 an hourExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Processes using tools, including PostgreSQL, Databricks, or NiFi. 3+ years of experience with data analytics and data visualization tools, including Tableau, Qlik Sense, or Micro sof t Power BI.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proven experience with technologies such as Azure, Azure Data Lake Storage (ADLS), Delta Lake, Databricks, and Snowflake. Proven experience with technologies such as Azure, Azure Data Lake Storage (ADLS), Delta Lake, Databricks, and Snowflake.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Azure ADF, Azure Synapse, Databricks or similar products. Experience with Azure ADF, Azure Synapse, Databricks or similar products. Regardless of their culture, religion, spirituality, age, gender, sexuality, disability, socio-economic background or personal experiences, our people are included and respected.
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Experience with data tools: Dremio (primary), Databricks, Spark, etc. Familiarity with data warehouse technologies: RedShift, SQL DW, Snowflake. Experience with data tools: Dremio (primary), Databricks, Spark, etc.
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Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark. Familiarity with Databricks infrastructure management. Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark.
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Design and Implementation of data products using Azure databricks. Experience in Azure Databricks. Design and Implementation of data products using Azure databricks. Experience in Azure Databricks.
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Experience in designing and implementing data and analytics solutions using technologies such as Snowflake, Databricks, Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF). Experience in designing and implementing data and analytics solutions using technologies such as Snowflake, Databricks, Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF.
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Proficient in Databricks or Snowflake. Proficient in Databricks or Snowflake. Other proficiencies in Docker, Kubernetes, Python, and Terraform preferred. Assess DevSecOps value streams and identify emerging automation techniques to improve ML Ops.
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Good experience in Spark, Databricks on Kubernetes. Good experience in Spark, Databricks on Kubernetes. A Cloud Software & Data Engineer is responsible for developing data engineering applications using third-party and in-house frameworks, leveraging a broad set of development skills that cover data engineering, data accessibility skillsets.
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databricks job in Houston, TX
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