Data piper
Consulting • Enterprise • Technology
Data Piper is a consulting firm specializing in digital transformation and technology solutions. They offer a wide range of services including data analytics, cloud operations, cybersecurity, artificial intelligence, and software modernization. With a strong focus on cloud-agnostic solutions, they partner with major cloud providers like Google Cloud, Azure, and AWS to deliver customized technology consulting. Data Piper helps businesses innovate and scale through digital transformation, cloud migration, big data, AI, and IoT implementations. They serve various industries, including logistics, transportation, finance, healthcare, and tech. Their expertise lies in developing enterprise software, mobile and web apps, and providing infrastructure automation and DevOps solutions.
51 - 200 employees
🏢 Enterprise
Databricks Architect
Job not on LinkedIn
April 25
Data piper
Consulting • Enterprise • Technology
Data Piper is a consulting firm specializing in digital transformation and technology solutions. They offer a wide range of services including data analytics, cloud operations, cybersecurity, artificial intelligence, and software modernization. With a strong focus on cloud-agnostic solutions, they partner with major cloud providers like Google Cloud, Azure, and AWS to deliver customized technology consulting. Data Piper helps businesses innovate and scale through digital transformation, cloud migration, big data, AI, and IoT implementations. They serve various industries, including logistics, transportation, finance, healthcare, and tech. Their expertise lies in developing enterprise software, mobile and web apps, and providing infrastructure automation and DevOps solutions.
51 - 200 employees
🏢 Enterprise
📋 Description
•Databricks Architect at Data Piper •Remote position with a focus on data engineering and analytics solutions.
🎯 Requirements
•10+ years experience in data eng, data platforms & analytics •10+ years of consulting experience •Completed Data Engineering Professional certification & required classes •Hands-on experience in development on databricks •Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one •Deep experience with distributed computing with Spark with knowledge of Spark runtime internals •Familiarity with CI/CD for production deployments •Working knowledge of MLOps •Current knowledge across the breadth of Databricks product and platform features
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