| Azure Data Engineer with Databricks for Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Sunil Yadav, Tanisha Systems Inc. [email protected] Reply to: [email protected] Job Tittle: Azure Data Engineer with Data Bricks Location: Remote all over USA Hire type: Contract Desired Experience: 10+ years of experience building and leading highly complex, technical engineering teams. Strong hands-on experience in Data bricks Implement scalable and sustainable data engineering solutions using tools such as Data bricks, Azure, Apache Spark, and Python. The data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases. Experience managing distributed teams preferred. Comfortable working with ambiguity and multiple stakeholders. Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas. Expertise on Azure Cloud platform Good SQL knowledge Knowledge on orchestrating workloads on cloud Ability to set and lead the technical vision while balancing business drivers Strong experience with PySpark, Python programming Proficiency with APIs, containerization and orchestration is a plus. Experience handling large and complex sets of data from various sources and databases. Solid grasp of database engineering and design principles Familiarity with CI/CD methods desired. Good to have Teradata Experience (not Mandatory). Qualifications: Bachelor's and/or masters degree About you: You are self-motivated, collaborative, eager to learn, and hands on You love trying out new apps, and find yourself coming up with ideas to improve them You stay ahead with all the latest trends and technologies You are particular about following industry best practices and have high standards regarding quality Regards, Sunil Yadav - Tanisha Systems Inc. (TSI) Office - 212-729-6543 Ext 543 Email : [email protected] Keywords: continuous integration continuous deployment |
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| Sat Sep 09 00:21:00 UTC 2023 |