Job Description
About the Role
nWe are looking for an experienced Data Engineer / Analytics Engineer to build and maintain contemporary data pipelines using Snowflake, dbt Cloud, and Fivetran . The ideal candidate should have hands-on experience with cloud data platforms and be comfortable leveraging AI coding assistants such as Claude Code, GitHub Copilot, or Cursor to improve engineering productivity.
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nKey Responsibilities
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- Build and maintain end-to-end data pipelines from source systems into Snowflake.n
- Configure and manage data ingestion using Fivetran.n
- Develop and maintain dbt models, tests, documentation, and deployment workflows.n
- Design data models and semantic layers for analytics consumption.n
- Implement data quality checks, validation processes, and data contracts.n
- Use AI-powered coding assistants to automate development and documentation tasks.n
- Review, validate, and deploy AI-generated code.n
- Collaborate with business and technical stakeholders to deliver scalable data solutions.n

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nRequired Skills
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- Strong experience with Snowflake n
- Hands-on expertise in dbt Cloud n
- Advanced SQL and data modeling skillsn
- Experience with Fivetran or similar ELT toolsn
- Data pipeline development and analytics engineeringn
- Automated testing and data quality frameworksn
- Git-based development and CI/CD conceptsn
- Experience working with AI coding assistants (Claude Code, GitHub Copilot, Cursor, etc.)n

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nGood to Have
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- Python for automationn
- MCP (Model Context Protocol) exposuren
- Semantic layer implementationn
- Data contracts and data observabilityn
- API integrations and workflow automationn
- Governance, lineage, and cataloging toolsn

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nPreferred Candidate Profile
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- 5+ years of experience in Data Engineering or Analytics Engineering.n
- Minimum 2+ years of hands-on experience with Snowflake and dbt.n
- Experience building production-grade ELT pipelines.n
- Strong focus

📌 Data Engineer (Hubballi)
🏢 EXL
📍 Hubballi