Encora
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at Encora. Skills: Data Engineering, Cloud Data Warehousing, Data Pipelines, Leadership. Own data pipelines. Evolve data pipelines”
What You'll Achieve.
Enable actionable insights for stakeholders
Industry & Context.
Identity resolution
What They're Looking For.
Must Have
Proven experience building data pipelines, Proven experience managing data pipelines, hands-on experience with Google Cloud, hands-on experience with BigQuery, hands-on experience with dbt, hands-on experience with SQL, hands-on experience with Fivetran, Experience processing GA4 raw event data, Experience with identity resolution, understanding of data modeling, understanding of warehousing concepts, understanding of ELT patterns, Experience integrating data across business systems
Nice to Have
Experience with Segment, Experience with AWS Redshift, Experience with Braze, Familiarity with Shopify data models, Exposure to growth analytics, Exposure to experimentation, Exposure to user lifecycle tracking, Experience with BigQuery scheduled queries, Experience with Data Transfer Service, Experience with workflow orchestration, Familiarity with streaming architectures, Familiarity with event-based architectures, Familiarity with webhook architectures, Comfort with AI-assisted development, Experience in high-growth organization, Experience in product-led organization
What You'll Do.
Evolve data pipelines
Integrate multiple systems
Enable actionable insights
Work with GA4 raw event data
Build identity resolution pipelines
Stitch anonymous visitors
Ensure clean data flows
Ensure reliable data flows
Manage data lifecycle
How You'll Work.
Team & Collaboration
Product teams; Marketing teams; Growth teams; Leadership teams
Full Job Description
Job Title: Lead Data Engineer Key Skills: BigQuery, SQL, Leadership, Fivetran, Segment. Location: Brazil Mode: Remote We at Coforge are hiring Lead Data Engineer with the following skill set. Key Responsibilities 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). Experie
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