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Leverages the use of data analytics tools (e.g. QlikSense, Databricks, Snowflake, Python, Alteryx, etc.) Interest in ETL processes using tools like Databricks, Snowflake, Alteryx, or similar platforms.
$60,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - 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.
$247,000InternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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Utilize Databricks to extract insights and develop new audiences from diverse first and third-party data sources. Their extensive offerings include data acquisition, email appends, integrated marketing services, production management, customized print production, direct mail solutions, fulfillment, and comprehensive lettershop, bindery, and mailing services.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Experience building data pipelines - using a variety of different technologies like Azure Data Factory, Databricks, Python & Spark. Lead Best Practices on Databricks Development with a particular focus on the AI/ML space.
$201,200 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
$170,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Prior experience in Git, Jira, Databricks, AWS, and Infrastructure as Code (Terraform) is advantageous. Experience with Git, Jira, Databricks, AWS, and Terraform. Stay Updated: Keep abreast of emerging trends and technologies in data engineering, visualization, and UX/UI design.
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Build scalable data pipelines using varieties of tools, including Qlik Replicate, Five Tran, Databricks, etc. Demonstrated experience with Databricks, Microsoft Azure. Working knowledge of Azure Databricks.
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5+ years of experience in data engineering with a focus on data visualization and UX. Experience with data visualization tools; proficiency in Power BI and Superset/Preset preferred.
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Minimum 3 years’ experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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databricks master data jobs Title: data Company: Compunnel Inc
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