Coforge

LeadDataEngineer

$215–345k ~AI est. Brazil Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer at Coforge. Skills: Data Engineering, Cloud Platforms, AI/LLM, Infrastructure as Code. Lead the design of data engineering solutions. Lead the development of data engineering solutions”

Industry & Context.

Problems you'll solve

Problem-solving skills

What They're Looking For.

Must Have

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

Nice to Have

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

What You'll Do.

Lead the design of data engineering solutions

Lead the development of data engineering solutions

Lead the optimization of data engineering solutions

Lead the design of cloud-based data pipelines

Lead the development of cloud-based data pipelines

Lead the optimization of cloud-based data pipelines

Collaborate with cross-functional teams

Drive project delivery

Ensure technical alignment

Support overall team execution

Develop modern data platforms

Maintain modern data platforms

Contribute to AI-driven initiatives

Implement LLM solutions

Enhance LLM solutions

Implement RAG solutions

Enhance RAG solutions

Implement intelligent data solutions

Enhance intelligent data solutions

How You'll Work.

Team & Collaboration

Cross-functional teams; Technical teams

Communication Scope

Communication skills

Process & Methodology

Agile/Scrum environments

Full Job Description

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. Kn

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