Lead Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Brazil
Remote
Senior level
Software • Consulting
The Role
Lead design, build, and optimize scalable cloud data pipelines and platforms using AWS, Snowflake, DBT, Airflow, Python, Docker, and Terraform. Collaborate across teams, drive project delivery, and implement AI/LLM solutions (RAG, LangChain, vector DBs) to enable intelligent data workflows while mentoring and providing technical leadership.
Summary Generated by Built In

Job Title: Lead Data Engineer
Key Skills: Python, AWS, Snowflake, DBT, Airflow, Terraform, Docker, AI/LLM, RAG, LangChain.
Location: Brazil
Mode: Remote
We at Coforge are hiring Lead Data Engineer with the following skill set.
Key Responsibilities

  • Lead the design, development, and optimization of scalable data engineering solutions and cloud-based data pipelines.
  • Collaborate with cross-functional teams to drive project delivery, ensure technical alignment, and support overall team execution.
  • Develop and maintain modern data platforms using technologies such as AWS, Snowflake, DBT, Airflow, Python, Docker, and Infrastructure as Code tools.
  • Contribute to AI-driven initiatives by implementing and enhancing LLM, RAG, and intelligent data solutions using modern AI frameworks and tools.

Required Skills & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • Experience in Data Engineering or related technical roles.
  • Strong hands-on experience with Python and modern data engineering practices.
  • Experience with cloud platforms such as AWS and data technologies including Snowflake, DBT, Airflow, and Docker.
  • Experience with Infrastructure as Code tools such as Terraform or equivalent technologies.
  • Strong understanding of data architecture, ETL/ELT pipelines, and scalable distributed systems.
  • Hands-on experience with AI/LLM concepts including RAG implementations and AI-driven workflows.
  • Familiarity with modern AI frameworks and tools such as LangChain, vector databases, MCP servers, or similar technologies.
  • Experience working in Agile/Scrum environments and collaborating across technical teams.
  • Strong leadership, communication, analytical, and problem-solving skills with the ability to take ownership at a project level.

Preferred Skills:

  • Experience with AWS Bedrock and AI Knowledge Bases.
  • Familiarity with alternative data orchestration and database technologies such as Dagster, PostgreSQL, SQL Server, or CloudFormation.
  • Knowledge of CI/CD pipelines and DevOps best practices.
  • Experience mentoring technical teams or leading engineering initiatives.

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

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • Experience in Data Engineering or related technical roles.
  • Strong hands-on experience with Python and modern data engineering practices.
  • Experience with cloud platforms such as AWS.
  • Experience with Snowflake, DBT, Airflow, and Docker.
  • Experience with Infrastructure as Code tools such as Terraform or equivalent.
  • Strong understanding of data architecture, ETL/ELT pipelines, and scalable distributed systems.
  • Hands-on experience with AI/LLM concepts including RAG implementations and AI-driven workflows.
  • Familiarity with AI frameworks and tools such as LangChain, vector databases, MCP servers, or similar technologies.
  • Experience working in Agile/Scrum environments and collaborating across technical teams.
  • Strong leadership, communication, analytical, and problem-solving skills with ability to take ownership at project level.
  • Experience with AWS Bedrock and AI Knowledge Bases.
  • Familiarity with Dagster, PostgreSQL, SQL Server, or CloudFormation.
  • Knowledge of CI/CD pipelines and DevOps best practices.
  • Experience mentoring technical teams or leading engineering initiatives.

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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