| Azure Data Engineer need locals in Jersey City, New Jersey need only USC, GC, GC EAD, OPT, TN, H4 EAD at Remote, Remote, USA |
| Email: [email protected] |
| From: Suresh, Tech Rakers [email protected] Reply to: [email protected] Title: Azure Data Engineer Location: Jersey City, New Jersey Duration: 12 Months Need Local Candidates Required: Top Skills' Details 3+ years experience with Databricks 5+ years experience of Azure Development Excellent interpersonal and communication skills Job Description We are searching for a Senior Azure Engineer with extensive experience in Databricks to join a risk technology team responsible for developing solutions on the cloud platform and be at the forefront of our clients on-prem to cloud migration initiative. The Azure Cloud Engineer strategizes, designs, develops and work with a team of dynamic and passionate data engineers to deliver automated cloud infrastructure and DevOps solutions. This role is also responsible for complex interface process development, troubleshooting issues, supporting weekend maintenance and production support. Responsibilities: Develop notebooks using Python, SQL, R language in Databricks Databricks Cluster configuration, repository configuration. Seamless integration with On-prem databases and Power BI reports Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform. Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions. Provide technical guidance on technology implementation and architectural changes. Sr. Azure Cloud Engineer coordinating with platform, APIM, Azure DevOps, and Support. Analyze and design technical solutions on Azure to address business needs. Develop, test, and modify software to improve efficiency of data platforms and applications. Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate and insightful outcomes. Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Enable streaming data use-cases and standard design patterns in a big data environment. Collaborating with data scientists to integrate algorithms and models into automated processes. Applying expertise, judgment, and precedents to contribute to the resolution of moderately complex problems. Review and provide feedback on core code changes and support production deployment. Thanks and Regards, suresh Kumar, [email protected] Keywords: business intelligence rlang information technology |
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| Fri Nov 10 00:05:00 UTC 2023 |