Data Engineer Specialist

Join Google Operations Center and be a part of a culture dedicated to continuous improvement and teamwork. As a Data Engineer Specialist, you will play a crucial role in maintaining data integrity and ensuring the reliability of critical reporting tools and dashboards. Position Responsibilities: - Strategic Scoping: Collaborate with stakeholders to define data architecture, security protocols, and scalable access layers during the initial solution intake and evaluation phase. - Technical Onboarding: Conduct comprehensive feasibility audits and system mapping during knowledge transfer to identify architectural bottlenecks and ensure seamless long-term operational integration. - Pipeline Engineering: Architect high-performance ETL/ELT/ELTL workflows and automated data ingestion layers, delivering sophisticated business intelligence through advanced visualization and impact measurement. - Incident Governance: Design an automated incident management framework to triage complex failures, optimizing manual runbooks into self-healing scripts for rapid resolution. - Predictive Reliability: Implement proactive data observability using telemetry and Gemini-driven insights to preemptively mitigate latency, error rates, and potential component failures. - End-to-End Sovereignty: Assume full orchestration ownership post-stabilization, overseeing continuous performance tuning, system health, and strict adherence to global legal compliance standards. Minimum Qualifications: - 4-6 years of experience in data engineering or a related field. - Bachelor's degree or equivalent practical experience. - Proficiency in Python, SQL, GCP, and Lookerstudio. - Exceptional attention to detail with a proven ability to maintain high quality on repetitive tasks and detailed workflows. - Excellent reading comprehension skills and comfort acting independently to follow detailed workflows and escalate when necessary. Preferred Qualifications: - Experience with PLX/Looker, MySQL, Spanner, and Django. - Strong problem-solving, debugging, and troubleshooting skills. - Ability to pick up skills on a new tech-stack rapidly. - Ability to interact professionally with all levels of internal stakeholders. Benefits: - Competitive wages and comprehensive health care including medical, dental, and vision coverage. - Gender-neutral baby bonding leave, birth-parent maternity leave, life, accident, and disability insurance minimums. - Onsite employees can enjoy free meals and snacks, and fun onsite experiences. If your profile aligns with the role, the recruitment team will reach out to you. If you do not hear from us within 2-3 weeks, consider your application unsuccessful. For any queries, contact us at goc-candidate-global@googleoperationscenter.com. Join Google Operations Center and be a part of a culture dedicated to continuous improvement and teamwork. As a Data Engineer Specialist, you will play a crucial role in maintaining data integrity and ensuring the reliability of critical reporting tools and dashboards. Position Responsibilities: - Strategic Scoping: Collaborate with stakeholders to define data architecture, security protocols, and scalable access layers during the initial solution intake and evaluation phase. - Technical Onboarding: Conduct comprehensive feasibility audits and system mapping during knowledge transfer to identify architectural bottlenecks and ensure seamless long-term operational integration. - Pipeline Engineering: Architect high-performance ETL/ELT/ELTL workflows and automated data ingestion layers, delivering sophisticated business intelligence through advanced visualization and impact measurement. - Incident Governance: Design an automated incident management framework to triage complex failures, optimizing manual runbooks into self-healing scripts for rapid resolution. - Predictive Reliability: Implement proactive data observability using telemetry and Gemini-driven insights to preemptively mitigate latency, error rates, and potential component failures. - End-to-End Sovereignty: Assume full orchestration ownership post-stabilization, overseeing continuous performance tuning, system health, and strict adherence to global legal compliance standards. Minimum Qualifications: - 4-6 years of experience in data engineering or a related field. - Bachelor's degree or equivalent practical experience. - Proficiency in Python, SQL, GCP, and Lookerstudio. - Exceptional attention to detail with a proven ability to maintain high quality on repetitive tasks and detailed workflows. - Excellent reading comprehension skills and comfort acting independently to follow detailed workflows and escalate when necessary. Preferred Qualifications: - Experience with PLX/Looker, MySQL, Spanner, and Django. - Strong problem-solving, debugging, and troubleshooting skills. - Ability to pick up skills on a new tech-stack rapidly. - Ability to interact professionally wit