Lead Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Senior level
Software • Consulting
The Role
Lead ownership of end-to-end data pipelines for Marketing, Product, and Growth analytics. Integrate multiple systems, model data, process GA4 event data at scale, build identity-resolution pipelines, and collaborate with product, marketing, and leadership to enable reliable data flows and actionable insights.
Summary Generated by Built In

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).
  • 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.

Skills Required

  • Proven experience building and managing end-to-end data pipelines.
  • Google Cloud BigQuery as 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 (anonymous to 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).
  • Leadership and cross-functional collaboration with product, marketing, and leadership teams.
  • Experience with Segment or similar CDP.
  • Experience with AWS Redshift (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 organizations.

Encora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.

  • Healthcare Strength Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
  • Leave & Time Off Breadth Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
  • Flexible Benefits Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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