Innodata Inc.
Data Platform Engineer (GCP)
About this role
Innodata seeks a GCP Data Platform Engineer to support and optimize large-scale production data platforms on Google Cloud. You'll focus on platform reliability, troubleshooting complex pipelines, and performance improvements across batch and streaming workloads rather than building from scratch.
What you'll do
- Support and maintain production GCP data platforms, pipelines, and workflows for batch and streaming workloads
- Troubleshoot Cloud Composer/Apache Airflow DAG failures, scheduling issues, and data-latency problems
- Optimize Airflow DAGs and pipelines to improve reliability, execution time, and operational efficiency
- Perform root-cause analysis on production issues and implement sustainable fixes
- Monitor platform health and proactively improve reliability, scalability, and performance across GCP services
- Create technical documentation, runbooks, and troubleshooting guides for platform operations
What they're looking for
- Google Cloud Platform (GCP) production operations
- BigQuery and Cloud Spanner
- Cloud Composer and Apache Airflow
- Dataflow and Pub/Sub
- Python and SQL
- GCP IAM, monitoring, logging, and alerting
- Troubleshooting complex production environments
- Data pipeline optimization and performance tuning
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Innodata Inc.
Innodata builds AI data infrastructure and solutions, specializing in LLM post-training pipelines, physical AI datasets for robotics, and audio/speech datasets for foundation models. The company is hiring AI/ML engineers, robotics solutions specialists, research engineers, and audio engineers to design data systems, evaluation frameworks, and quality assurance processes that enable cutting-edge AI model development.
View all jobs at Innodata Inc.Likely interview questions
- Describe your experience troubleshooting complex production data pipeline failures and how you approach root-cause analysis.
- Walk us through an example of how you optimized a slow or unreliable Apache Airflow DAG in a production environment.