Required Skills : Kubernetes Hive Experience 10to13Yrs
With 10 to 13 years of experience, the ideal candidate will leverage their expertise in Kubernetes and AWS DevOps to drive our geospatial projects to new heights.
This role is pivotal in analyzing and interpreting data to support decision-making processes and enhance our business operations. Roles & Responsibilities -
Analyze complex data to provide insightful solutions for business challenges.
Utilize Kubernetes to orchestrate containerized applications for processing.
Implement AWS DevOps practices to streamline deployment and management of applications.
Collaborate with cross-functional teams to integrate analytics into broader business solutions.
Develop and maintain scalable and efficient data processing pipelines.
Ensure high-quality data visualization for stakeholder reporting.
Stay abreast of emerging technologies and methodologies to drive innovation.
Optimize geospatial application performance through continuous monitoring and tuning.
Provide technical guidance and support to junior analysts in data analysis.
Foster a culture of continuous improvement by recommending process enhancements.
Adhere to data governance and security policies in handling sensitive information. Qualifications
Must have a strong foundation in Kubernetes and AWS DevOps practices.
Proven experience in data analysis and visualization techniques.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication skills, both verbal and written, are essential
A team player with a track record of successful cross-functional collaboration.
Bachelors degree in Computer Science, or a related field is required
Prior experience in a lead analyst role is preferred.
Ability to manage multiple projects simultaneously with a keen attention to detail