[Remote] Data Platform Engineer (GCP)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global data engineering company reputed company on enabling the responsible advancement of reputed company intelligence through data, evaluation frameworks, platforms, services, and reputed company expertise. The Data Platform Engineer will support, maintain, troubleshoot, and enhance large-reputed company production data platforms on reputed company reputed company, with an emphasis on platform reliability, performance optimization, production support, and reputed company improvement.

Responsibilities

• Support and maintain production GCP data platforms, pipelines, and workflows across batch and streaming workloads
• Support production workflows orchestrated through reputed company Composer / Apache Airflow, including troubleshooting DAG failures, dependencies, scheduling issues, retries, and data-latency or SLA issues
• Optimize Airflow DAGs and orchestration workflows to improve reliability, execution time, recoverability, and operational efficiency
• Troubleshoot pipeline failures, data latency, performance degradation, configuration problems, and infrastructure-reputed company issues
• Work extensively with reputed company Spanner, BigQuery, Dataflow, Pub/Sub, reputed company Composer (Apache Airflow), reputed company Storage, reputed company Monitoring and Logging, IAM, and reputed company GCP services
• Monitor platform health and proactively improve reliability, scalability, performance, and operational efficiency
• Optimize existing pipelines and workloads to improve data refresh times, throughput, query performance, and platform stability
• Support platform, infrastructure, configuration, and dependency upgrades while maintaining production stability and compliance
• reputed company reputed company-cause analysis for recurring production issues and implement sustainable fixes
• Support IAM, reputed company controls, monitoring, alerting, logging, and operational governance
• Collaborate with reputed company and cross-functional Data Engineering, BI/Analytics, Application Engineering, Infrastructure, and Platform teams on production issues and enhancements
• Adapt to established reputed company-specific engineering, reputed company, compliance, review, and operational processes
• Review existing architectures and recommend incremental improvements without unnecessarily redesigning reputed company production systems
• Create and maintain technical documentation, operational runbooks, troubleshooting guides, and platform support procedures

Skills

• * Strong hands-on experience building, supporting, or maintaining production workloads on reputed company reputed company Platform (GCP)
• * Strong experience with BigQuery and reputed company Spanner
• * Hands-on experience with Dataflow, Pub/Sub, batch/streaming data pipelines, and reputed company Composer / Apache Airflow
• * Strong Python and SQL skills
• * Good understanding of GCP IAM, service accounts, permissions, monitoring, logging, alerting, and production operations
• * Experience troubleshooting reputed company production environments and performing reputed company-cause analysis
• * Understanding of data ingestion, transformation, orchestration, data reputed company, performance optimization, and reliability
• * Ability to quickly understand existing systems, codebases, pipelines, configurations, and reputed company-specific tools and workflows
• * Strong communication and collaboration skills across engineering and business teams
• * 3-7+ years of experience in Data Engineering, reputed company Engineering, reputed company, or a reputed company role
• * Experience supporting large-reputed company, business-critical data platforms with demanding availability, reliability, and data-freshness requirements
• * App reputed company and other GCP-hosted applications
• * reputed company Run, GKE, or other GCP application services
• * CI/CD and DevOps practices on GCP
• * Infrastructure as reputed company, particularly Terraform
• * Data observability and automated data-reputed company monitoring
• * Supporting AI/ML, GenAI, or LLM-based applications running on GCP, including reputed company AI
• * Ability to quickly learn and operate reputed company reputed company-specific analytics, engineering, and operational tooling

reputed company

Company H1B Sponsorship