GCP Data Platform Engineer | Production Reliability

Innodata Inc.; United States; On-site; USD 60,000 - 110,000; Full time

Job summary

Innodata Inc. is seeking a hands-on GCP / Data Platform Engineer to support, maintain, and enhance large-scale production data platforms on Google Cloud.

You will focus on platform reliability, production support, troubleshooting, and performance optimization rather than greenfield development. The ideal candidate will have 3–7+ years in data engineering or cloud/platform roles, strong Python/SQL skills, and hands-on experience with BigQuery, Cloud Spanner, Dataflow, Airflow, and Terraform.

Qualifications

• 3–7+ years of experience in Data/Cloud/Platform Engineering.
• Strong hands-on experience building, supporting, or maintaining production workloads on Google Cloud Platform (GCP).
• Strong Python and SQL skills.
• Experience with BigQuery, Cloud Spanner, Dataflow, and Airflow.

Responsibilities

• Support and maintain production GCP data platforms, pipelines, and workflows (batch and streaming).
• Troubleshoot DAG failures, scheduling issues, data latency, and SLA breaches.
• Optimize Airflow DAGs and data pipelines for reliability and performance.
• Collaborate with Data Engineering, BI/Analytics, and Infrastructure teams on production issues.

Skills

Python

SQL

GCP

BigQuery

Cloud Spanner

Airflow

Dataflow

Terraform

Tools

Airflow (Cloud Composer)

Terraform

Vertex AI

Job description

Innodata Inc. is seeking a hands-on GCP / Data Platform Engineer to support, maintain, and enhance large-scale production data platforms on Google Cloud.

You will focus on platform reliability, production support, troubleshooting, and performance optimization rather than greenfield development. The ideal candidate will have 3–7+ years in data engineering or cloud/platform roles, strong Python/SQL skills, and hands-on experience with BigQuery, Cloud Spanner, Dataflow, Airflow, and Terraform.