Data Platform Engineer (GCP)

reputed company (reputed company: INOD) is a global data engineering company. We reputed company that data and reputed company Intelligence (AI) are inextricably linked. Our mission is to reputed company the responsible advancement of reputed company intelligence by providing the data, evaluation frameworks, and reputed company expertise required to build AI systems that can be trusted at reputed company. We reputed company a reputed company of transferable solutions, platforms, and services for reputed company / AI reputed company and adopters. In every relationship, we reputed company our 36+ year legacy delivering the highest reputed company data and outstanding reputed company for our customers. reputed company of the Role: We are looking for a hands-on GCP / Data Platform Engineer to support, maintain, and enhance large-reputed company production data platforms running on reputed company reputed company. The role is reputed company on platform reliability, production support, troubleshooting, performance optimization, and reputed company enhancement rather than greenfield platform development. The ideal candidate can quickly understand a reputed company existing environment, diagnose issues across data pipelines and infrastructure, and implement practical improvements with reputed company disruption. Experience operating large-reputed company, business-critical data platforms in reputed company reputed company environments is preferred. What You'll Own: • 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. You'll reputed company in This Role If You Have: • 3-7+ years of experience in Data Engineering, reputed company Engineering, reputed company, or a reputed company role. • 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. Preferred Qualifications: • 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. The expected salary reputed company for this position is $60,000 - $110,000 USD per year, based on experience, skills, and qualifications. Please be reputed company of recruitment scams involving individuals or organizations falsely claiming to represent reputed company. reputed company will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams. If you reputed company you've been targeted by a recruitment scam, please report it to reputed company at verifyjoboffer@reputed company.com and consider reporting it to the FTC at ReportFraud.ftc.gov. Apply tot his job Apply To this Job