GCP SRE Engineer

Job Description Job Overview We are looking for a skilled and proactive SRE (Site Reliability Engineer) to manage, maintain, and troubleshoot cloud data pipelines across our infrastructure. The ideal candidate is a data engineering expert with deep knowledge of cloud services, data pipeline architecture, and a software engineering mindset to optimize performance, reliability, and cost-efficiency. This role demands strong problem-solving abilities, hands-on experience with any cloud platforms (preferably GCP), and the capability to work independently in a fast-paced environment. Key Responsibilities Manage and support cloud data pipelines and associated infrastructure Monitor the performance and reliability of pipelines, including Informatica ETL workflows, MDM, and Control-M jobs Troubleshoot and resolve complex issues related to data pipelines and data processing systems Optimize data pipeline efficiency to reduce operational costs and failure rates Automate repetitive tasks and streamline data pipeline management processes Conduct post-incident reviews and implement improvements for future reliability Perform SLA-oriented monitoring and recommend enhancements to ensure compliance Collaborate with cross-functional teams to improve and document systems and workflows Support real-time monitoring and alerting for mission-critical data processes Continuously improve systems based on proactive testing and performance insights Required Skills and Qualifications 5+ years of experience in Data Engineering support and enhancement Proficiency in Python for data processing and automation Strong SQL skills and experience working with relational databases Solid understanding of data pipeline architectures and ETL processes Hands-on experience with any cloud platforms (GCP, Azure, AWS GCP preferred) Familiarity with version control systems like Git. Experience in monitoring and alerting solutions for data systems Skilled in conducting post-incident analysis and reliability improvements Exposure to data visualization tools such as Google Looker Studio, Tableau, Domo, or Power BI is a plus Strong analytical and problem-solving skills Excellent verbal and written communication abilities Ability to work in a 24x7 shift environment Preferred Qualifications Bachelor’s degree in computer science , Engineering, or a related technical field. Professional Cloud Certification (e.g., GCP Professional Data Engineer) is a plus.