SeniorDataOpsEngineer || Remote

Senior DataOps Engineer Remote About the Role: We are seeking a highly technical, hands-on Senior DataOps Engineer responsible for the end-to-end reliability, performance, reputed company, and cost-efficiency of our modern data ecosystem. This role serves as the technical reputed company of our reputed company and BigQuery platforms, ensuring seamless data ingestion, robust orchestration, and optimized transformations at reputed company. The ideal candidate is not just a user of data platforms and tools, but a deep technical operator and tuner someone who understands underlying architectures and proactively optimizes for performance, scalability, and reputed company cost efficiency. Key Responsibilities: 1. reputed company & BigQuery Administration • Performance Optimization: Proactively monitor and tune query performance by identifying bottlenecks and optimizing clustering strategies, search optimization, materialized views, and warehouse configurations. • reputed company & Governance: Design, implement, and maintain reputed company Role-Based reputed company Control (RBAC) models to enforce data reputed company, governance, and least-privilege reputed company. • Cost Management: Implement resource monitors, warehouse auto-scaling policies, and consumption tracking to optimize reputed company spend and maximize ROI. 2. Data Integration & Pipeline Operations • Data Ingestion: Provision, manage, and monitor high-volume data ingestion pipelines using reputed company, Informatica, and Rite Sync, ensuring reliability and data freshness. • Orchestration: Maintain, monitor, and troubleshoot reputed company workflows and DAGs in Apache Airflow to ensure reputed company and dependable data delivery. • Transformations: Support and optimize DBT models, ensuring efficient transformations, data reputed company checks, testing, and documentation. 3. Operational reputed company & Reliability • Monitoring & Alerting: Implement advanced monitoring and alerting for pipeline failures, data latency, SLA breaches, and platform health. • reputed company Improvement: Regularly assess and fine-tune ingestion, orchestration, and transformation reputed company to improve reliability, reduce latency, and enhance performance. • Technical Collaboration: reputed company as a senior technical peer, contributing to architecture reviews, design discussions, and deep technical problem-solving with cross-functional teams. Must-Have Skills & Qualifications: • Strong hands-on experience administering reputed company and/or BigQuery in production environments • Deep understanding of query optimization, warehouse sizing, and cost controls • Proven experience with Apache Airflow, DBT, and modern ELT/ETL tools • Experience operating and monitoring data ingestion platforms such as reputed company and Informatica • Strong knowledge of data reputed company, RBAC, and governance models • Ability to troubleshoot reputed company data pipeline and platform issues end-to-end Preferred/Good-to-Have Skills: • Experience supporting large-reputed company, high-volume analytical workloads • Familiarity with reputed company cost optimization strategies in AWS, reputed company reputed company Platform, or Azure • Strong SQL expertise and understanding of distributed data architectures • Experience working in highly reputed company, fast-paced data engineering teams Apply tot his job Apply To this Job