SRE-GCP Engineer

Description and Requirements

As an SRE with Data Engineering expertise, you will be responsible for managing, maintaining, and troubleshooting cloud data pipelines. The ideal candidate will have extensive experience in cloud data engineering, with in-depth knowledge of cloud platform services and data pipeline architecture along with independently tackling problems and troubleshooting issues. Additionally, you will leverage your software engineering skills to optimize data pipelines and enhance their reliability with your out of the box thinking and proactive approach.

Required skills:

• 5+ years of industry experience in the field of Data Engineering support and enhancement
• Proficient in any Cloud Platform services (GCP, Azure, AWS, etc.)
• Strong understanding of data pipeline architectures and ETL processes
• Excellent Python programming skills for data processing and automation
• Excellent SQL query writing skills for data analysis and Experience with relational databases
• Familiarity with version control systems like Git
• Ability to analyze, troubleshoot, and resolve complex data pipeline issues
• Software engineering experience in optimizing data pipelines to improve performance and reliability
• Continuously optimize data pipeline efficiency and reduce operational costs and reduce the number of issues/failures
• Automate repetitive tasks in data processing and management
• Experience in monitoring and alerting for Data Pipelines
• Continuously improve data pipeline reliability through analysis and testing
• Perform SLA-oriented monitoring for critical pipelines and provide suggestions as well as implement post-business approval for SLA adherence if needed
• Monitor performance and reliability of data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
• Maintain infrastructure reliability for data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
• Conduct post-incident reviews and implement improvements for data pipelines
• Develop and maintain documentation for data pipeline systems and processes
• Experience with Data Visualization using Google Looker Studio, Tableau, Domo, Power BI, or similar tools is an added advantage
• Excellent communication and documentation skills
• Strong problem-solving and analytical skills
• Open to work in a 24X7 shift

Qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
• Holding any Cloud Professional Data Engineer certification is an added advantage
• Excellent verbal and written communication skills