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Experience in creating python/SQL notebooks to transform & load data using Databricks. 2+ years experience in building Lakehouse using Azure Databricks and open source Delta. 2+ Experience in developing Data Factory pipelines that are parametrized and reusable and worked on most of the ADF control flow activities like GetMetadata, Lookup, Copy, For Each, Databricks, Stored Procedure, If, Web etc.
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Experience working with Apache Spark and Databricks environments. Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
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Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog. Must have hands-on experience with Databricks. We are actively hiring for Big data engineer.
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Serve as system admin to manage AWS and Databricks platform. Experience with ETL tool, for example Databricks. Hands-on development experience with Databricks. Experience on AWS, familiar with EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway.
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Databricks is hiring an experienced Jira and Atlassian Solutions Engineer to help scale and optimize our business processes and project management infrastructure as the company continues its hyper-growth.
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Skills required: Azure Data Factory, Azure DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management / CICD pipelines, Logic Apps, Azure Functions.
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To be successful, the candidate must combine strong technical skills, preferably plasma and laser expertise, problem solving and numerical analysis skills (using MATLAB, Python, Databricks, Julia, etc.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Delaware North Lead Data Engineer, Databricks Buffalo , New York Apply Now Delaware North is hiring a Lead Databricks Engineer to join our IT team in Buffalo, New York. As a Lead Databricks Engineer, you will be responsible for leading the development and optimization of our Databricks-based data processing and analytics platform.
$95,900 - $129,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a development background alongside experience automating build and deployment pipelines in Azure for multiple services and supporting middleware such as AKS and Databricks in the cloud.
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Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. Implement best practices for data management, security, and governance within the Databricks environment.
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As a Lead Data Engineer in Insights Engineering, you will lead a team of data engineers to ensure the proper upkeep of our AWS Redshift and Databricks analytic platforms within FanDuel organization by establishing platform governance and feature improvements to enable the business.
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Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark. Knowledge of Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, and Power BI is desirable.
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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databricks job Title: engineer
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