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Familiarity with Databricks for big data processing. Experience with scripting languages (PowerShell, Perl, Python, SQL, CLI, Bash), familiar with source control tools. Experience implementing industry best practices like code analysis, unit testing, test automation pipelines, security controls using Azure DevOps/TFS, performance testing using VS etc.
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Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL Writing SQL queries against Snowflake. Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
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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.
$82,500 - $146,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc. Our Data Engineering teams are at the intersection of business analytics, data warehousing and software engineering.
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Expert-level architecture, development, and administration process automation experience of Snowflake cloud computing-based data warehouse. Participate in analysis, architecture, design, planning, development, deployment, and manage a large scalable, maintainable, and well-tested distributed data pipeline system using cloud technologies including Snowflake, DBT, and Azure services & products.
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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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System automation, scripting using Power shell and deployment tools (Azure DevOps Service, TFS, Chef/ Puppet etc. 10+ years’ experience as Azure DevOps engineer with 2+ years application developer for.
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3+ years of experience with Databases, SQL, data modeling, data mining, and automated engineering solutions. Design and develop data processing pipelines in the data engineering ecosystem using Spark, Flink, Kafka, Presto, etc.
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The Senior Demand Planning Manager closely partners with Engineering, Finance, Supply Chain, Data Centers, and Deployment organizations to plan capacity. The Senior Demand Planning Manager closely partners with Engineering, Finance, Supply Chain, Data Centers, and Deployment organizations to plan capacity.
$112,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Programming experience in one or more general purpose languages (Python, SQL, Go, Rust, etc) Build and maintain large-scale data pipelines, ensuring reliability, timeliness, and accuracy of data being ingested across cloud , SaaS, enterprise, and product environments.
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Experience with the Big-Data ecosystem (Spark, Hadoop, Hive, Pig, etc. Understands different data storage solutions and when to use them (e.g. RDBMS, Cassandra, Solr, Redis) Built and deployed large scale data pipelines (e.g. Kafka, Spark, Storm.
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Performs home sleep study electronic downloading, reading and scoring of data for physician interpretation. Minimum one (1) year of experience as respiratory care practitioner (respiratory therapy) working with CPAP, BiLevel devices and interfaces.
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Expertise in SQL and proficiency in data manipulation techniques. Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Experience working with GoodRx's data stack (AWS, dbt, Looker) (preferred.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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