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.
- Solid 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 (Noida)
🏢 Topcoder
📍 Noida