Engineer II

4 - 9 years

9 - 10 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Engineer II designs, develops, and delivers clean maintainable solutions based on Big Data applications that fulfill the strategic vision for enterprise while driving business value and innovation
Performs the full deployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initial production deployment, recovery, security and data governance for Data Lake Evaluates and provides technical solutions to design, develop, and support business units wishing to implement a Big Data solution Refines raw data into actionable insight using visualization and statistics with innovative analytics applications and systems Develops applications that can interact with the data in the most appropriate way, from batch to interactive SQL
Core Responsibilities
Design, develop, and implement scalable and secure cloud solutions for Big Data Platforms
Optimize data pipelines using distributed cloud computing to ensure that they support high volume / high velocity data streams and are scalable to meet growth expectations
Provide technical guidance and support to development teams and clients throughout the solution lifecycle
Troubleshoot and resolve complex issues related to Cloud based Data Lake and Data Mesh environments Stay current with emerging technologies and trends and recommend best practices
Perform tuning of a Big Data /NoSQL environment with underlying impact analysis of distributed jobs to enhance data processing, analytics, and machine learning capabilities
Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications
Create and maintain comprehensive documentation for solution designs, configurations, and best practices
Provide training and support to clients and internal teams on solution architecture Engage with clients to understand their business needs and deliver tailored cloud solutions Conduct presentations, demos, and workshops to showcase Data Lake Capabilities
Education Requirements
Minimum 4 Year / Bachelors Degree - Bachelor s degree in computer science, Engineering, or a related field; advanced degree preferred
Qualifications
Bachelor s degree in computer science, Engineering, or a related field; advanced degree preferred
Intermediate experience in cloud engineering or solution architecture with a focus on Azure and related capabilities
Demonstrated ability to engage both developers and business partners to achieve target outcomes
Experience with DevOps and best practices for Coding in a distributed Cloud environment
Familiarity with concepts Data Movement, Analysis, Modeling best practices
Excellent written and verbal communications; Solid written and oral presentation skills
Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment
Years of Experience
3-4 years of Cloud Engineering experience

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