Skills Required:
Google Cloud Platform (GCP), Cloud Composer (Apache Airflow), Cloud Data Fusion, BigQuery, Dataproc, Cloud Storage, Python, SQL, CI/CD Pipelines (Cloud Build / Git-based), Unix/Shell Scripting

Description

Work with customer stakeholders to understand functional and technical requirements and translate them into implementable technical specifications.
Ability to build tactical and strategic roadmaps on the GCP platform.
Strong hands-on experience working on Google Cloud Platform, including:
- Defining technical solution architecture on GCP
- Building data engineering pipelines
- Designing orchestration workflows
- Leveraging GCP services such as Cloud Composer (Airflow), Data Fusion, Cloud Storage, BigQuery, and Dataproc.
Experience with migration and modernization of data and ETL workloads to Google Cloud Platform (GCP).
Collaborate with customer architects/leads to define migration and validation approaches and provide hands-on technical support for remediation and validation of data pipelines as part of technology upgrades (e.g., Cloud Composer/Airflow and Cloud Data Fusion).
Strong software development experience using Python, SQL, and Unix scripting.
Assist in establishing and applying GCP best practices for data engineering pipelines and orchestration workflows (Composer, Data Fusion, BigQuery, Dataproc).
Provide hands-on technical guidance and review during remediation, unit testing, integration testing, and production deployment.
Collaborate with DevOps/Platform teams on CI/CD enablement for Data/GCP pipeline deployments.
Lead a team of senior and junior developers and be accountable for technical deliverables.
Strong analytical, written, and verbal communication skills.
Troubleshooting, root cause analysis, and performance tuning of GCP services.
GCP Professional Data Engineer certification preferred.

GCP Tech Lead / Architect