Lead Data Engineer

• Lead and optimize GCP data pipelines

• Enhance ETL for reuse, modularity,  reliability

• Apply governance: validation, lineage, transparency

• Support semantic layer for KPIs and metrics

• Enable automation, ML, AI readiness

• Collaborate on outputs and team standards

• Exp. in data engineering (GCP, SQL, Python, Airflow)

• dbt/LookML, ML tools, marketing data

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - Permanent
• Work Mode - Hybrid
• Open To Hire - Other Industry

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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