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Azure Databricks and Python (AI/ML) experience is preferred. Experience with AI/ML, RPA via UiPath/PowerApps & Embedded AI within Oracle, UKG Pro WFM or other ERP products will be considered as a strong asset.
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Extensive knowledge of and experience with large-scale database technology (e.g. Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse, etc.
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Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow. Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow. 3+ years of demonstrated ability working within and building on public cloud (AWS, GCP, Azure) and demonstrated ability deploying with a CI/CD orchestration services (Jenkins, Spinnaker.
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Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred. Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client.
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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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Proven expertise in AWS services (S3, Redshift, Glue, EMR, Lambda) and Databricks. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Role- Data Platform Engineer with Databricks and Unity Catalog. Data Platform Engineer with Databricks and Unity Catalog. Ensure data security andcompliance with regulations using Databricks and Privacera's features.
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Uses Azure services, such as Azure SQL DW (Synapse), ADLS, Azure Event Hub, Cosmos, Databricks, Delta-Lake to improve and speed up delivery of our data products and services. 4 years' working in the advertising and marketing space with experience in various ad tech technologies (e.g. SSP, DSP, DCO, DMP.
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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. Compute Fabric : Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Databricks for big data processing. System automation, scripting using Power shell and deployment tools (Azure DevOps Service, TFS, Chef/ Puppet etc. Development and integration of DevOps related tool chain across Operations and Development organizations like TFS, Azure DevOps Service, ARM Templates, Visual Studio, GitHub and Data protection & privacy knowledge.
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Experience implementing industry best practices like code analysis, unit testing, test automation pipelines, security controls using Azure DevOps/TFS, performance testing using VS etc. 10+ years’ experience as Azure DevOps engineer with 2+ years application developer for.
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Experience with scripting languages (PowerShell, Perl, Python, SQL, CLI, Bash), familiar with source control tools. TFS/Azure Devops/GitHub administration. Maintain and manage project infra resources, including Azure DevOps, subscriptions, Power Platform, and Dynamics resources.
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Installation and configuration of AKS, Azure Key Vault, Azure Virtual Networking, various DB Services, ADF, Functions, Logic Apps etc. Strong track record as a hands-on engineer designing and delivering elegant DevSecOps solutions.
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Knowledge of Networking concepts including NSG, VPN, and load balancers. Experience with Docker and Kubernetes/AKS for containerized applications. Familiarity with API Security, Container Security, Cloud Security.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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