Lead Data Engineer

Job Description :

Key Responsibilities :

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as :

○ Dataflow for real-time and batch data processing

○ Cloud Functions for lightweight serverless compute

○ BigQuery for data warehousing and analytics

○ Cloud Composer for orchestration of data workflows (based on Apache

Airflow)

○ Google Cloud Storage (GCS) for managing data at scale

○ IAM for access control and security

○ Cloud Run for containerized application

Required Skills :

10+ years of hands-on experience in Python for backend or data engineering

projects.

(especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).

transformation techniques.

CI / CD practices.

Important Note (Please Read Before Applying)

Do NOT apply if :

✅ Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed.