Lead Data Engineer

• Own and evolve end-to-end data pipelines that power Marketing, Product, and Growth analytics.
• Responsible for integrating multiple systems, modeling data, and enabling actionable insights for business stakeholders.
• Work with GA4 raw event data at scale (hundreds of millions of rows), build identity resolution pipelines that stitch anonymous visitors to known customers, and ensure clean, reliable data flows from ingestion through activation.
• Operating across the full data lifecycle — from ingestion to visualization — while collaborating closely with product, marketing, and leadership teams.

Required Skills & Qualifications

• Proven experience building and managing end-to-end data pipelines.
• Strong hands-on experience with:
• Google Cloud (BigQuery) as a primary warehouse
• dbt for data transformation and modeling
• SQL
• Fivetran (or similar ingestion/connector tools)
• Experience processing GA4 raw event data at scale.
• Experience with identity resolution across multiple platforms (stitching anonymous → known users).
• Strong understanding of data modeling, warehousing concepts, and ELT patterns.
• Experience integrating data across multiple business systems (product telemetry, marketing, CRM, e-commerce).

Preferred Skills

• Experience with Segment (or similar CDP).
• Experience with AWS Redshift (we maintain a read-only mirror).
• Experience with Braze or similar customer engagement platforms.
• Familiarity with Shopify data models (orders, customers, subscriptions).
• Exposure to growth analytics, experimentation, and user lifecycle tracking.
• Experience with BigQuery scheduled queries, Data Transfer Service, or workflow orchestration (Airflow, Dagster).
• Familiarity with streaming/event-based and webhook architectures.
• Comfort with AI-assisted development (Claude, Copilot).
• Experience in high-growth or product-led organization.

Posted On: 09-06-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.