2521 - Cloud Ops Engineer (Offshore)

Role: Cloud Ops Engineer (Offshore)

Experience: 3+ Years

Location: Pune, Gurgaon & Bangalore – Hybrid

Shift Time: 12:00 PM - 10:00 PM

Must have:

• Experience working in AWS, Redshift, PowerBI
• Prior exposure to Data Ingestion and Curation work (such as working with Data Lakehouse)
• Prior experience supporting AWS infrastructure cloud operations, monitoring and troubleshooting
• Experience in data engineering or support roles with hands-on knowledge of data platforms and services, preferably in an AWS environment.
• Knowledge in SQL for purpose of analysis/investigation of issues
• Work with the Data Engineers, Data Analyst and Data Product Owners to support and maintain data platform across multiple data domains

Good to have:

• University degree in Computer Science, Mathematics, Engineering, or related field.
• 3+ years of experience in data engineering or production support capacity.
• Experience working with Cloud data platforms, preferably AWS (Lambda, SNS, S3, AWS Glue, Athena, RDS, ECS).
• Some experience in monitoring the AWS services using Cloudwatch, Cloudtrail, Cloudwatch insights, etc.
• Intermediate level skills in Python and SQL.
• Working knowledge of CI/CD pipelines and build/test/deploy automation.
• Good experience working within cross-functional, agile, or continuous delivery teams
• Expertise in understanding the Python code & SQL queries to Investigate the production failures/Data issues
• Strong problem-solving skills and passion for solving hard problems as part of a team and by individual investigation.
• Proactive self-starter with strong detail orientation is critical in this role.
• Good professional communication skills: experience presenting and effectively communicating findings to colleagues and/or clients
• Superior communication skills both oral and written
• Positive contributor, strong team member, loves to work with and empower others
• Collaborating with a team
• Time management skills

Responsibilities:

• Monitor automated system alerts, log files, and other monitoring tool outputs to ensure the continuous and smooth running of data pipelines.
• Perform root cause analysis on issues that lead to the implementation of processes to prevent repetitive problems
• Interact with internal business stakeholders, engineering and data analytics teams in troubleshooting and remediation of issues.
• Evaluate and communicate technical risks effectively and ensure assignments delivery in scheduled time with desired quality
• Responsible for Re-processing of data based on types of updates (Upsert, Full-refresh & Append,etc) and other routine maintenance tasks.
• Responsible for taking ownership of Production issues and resolving them with-in the given SLAs.
• Responsible for handling Small to Medium Complex Code changes.