| Urgent role for ACC (Azure Confidential Computing) || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Hemant Kumar, Vbeyond [email protected] Reply to: [email protected] Hi, I have job opportunity for you, if you are looking for new job, please email me your updated resume at your earliest convenience or you call me on +1 (908) 900-4903 ACC (Azure Confidential Computing) Location: 100% Remote Responsibilities: Implement tools and pipelines in dataops & data engineering disciplines Deep expertise and demonstrable in building, deploying, and maintaining data pipelines and infrastructure Guide technical design for scalable and efficient big data architectures on Microsoft Azure Oversee implementation of data processing systems including ETL, workflow orchestration, messaging, databases, and ingestion processes Establish best practices for infrastructure-as-code, automated deployment, monitoring, and DevOps culture Lead process re-engineering initiatives to continuously optimize data operations Communicate data infrastructure designs, processes and standards to stakeholders across engineering and analytics teams Support data scientists and business analysts to ensure they have access to the reliable, quality data needed for models and applications Monitor data pipeline health, availability and performance. Troubleshoot and resolve issues. Stay up to date on emerging technologies and trends in the data engineering space. Requirements/Skills: 5+ years experience in dataops,data engineering and architecture Hands-on expertise building data platforms& diverse data journey pipelines on Microsoft Azure Deep knowledge of data processing technologies including Spark, Airflow, Kafka, relational and NoSQL databases Proficiency with Python or Scala programming Experience leading and mentoring data engineers Strong communication, collaboration and leadership skills Bachelors degree in Computer Science, Engineering or relevant field Exposure to Azure Confidential Computing environments Solid background in analytics, machine learning or business intelligence Experience driving DevOps/MLOps and CI/CD best practices for data Keywords: continuous integration continuous deployment |
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| Sat Aug 05 01:51:00 UTC 2023 |