Coforge
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“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.
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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