AWS

Good to have skills: IAM, CloudWatch, AWS Lambda, Amazon S3, AWS Glue, DEVOPS

Key Responsibilities:

• Analyze and troubleshoot AWS-based environments, identifying root causes and implementing corrective and preventive actions.
• Monitor cloud resources, availability, and performance; recommend right-sizing, cost optimization, and reliability improvements.
• Support data engineering workflows on AWS, assisting with data movement, processing, and operational stability of pipelines.
• Collaborate with cross-functional teams to gather requirements, translate them into technical tasks, and ensure timely delivery.
• Maintain clear technical documentation including runbooks, incident reports, architecture notes, and operational procedures.
• Assist with access management and security best practices, ensuring compliance with internal standards.
• Participate in incident management, on-call/production support activities (as applicable), and continuous improvement initiatives. Minimum Qualifications:
• 3–5 years of experience in a technical analyst, cloud support, or cloud operations role with hands-on AWS exposure.
• Strong working knowledge of AWS / Amazon Web Services concepts and core services used in production environments.
• Experience supporting data engineering or data platform activities (e.g., data pipelines, batch processing, data reliability).
• Ability to analyze logs/metrics, troubleshoot issues systematically, and communicate findings clearly to stakeholders.
• Education: BTECH, MTECH, MCA, MSC. Preferred Qualifications:
• Experience working with AWS data services and pipeline orchestration in collaboration with data engineering teams.
• Familiarity with infrastructure and operational best practices such as automation, monitoring, and incident response processes.
• Exposure to designing or reviewing cloud architectures with a focus on scalability, security, and cost efficiency.
• Proven ability to document and standardize operational procedures to improve support quality and reduce recurring issues.
• Strong collaboration skills to work effectively with engineering, analytics, and business teams in a fast-paced environment.