Job Description
About the Role
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We are looking for an experienced Data Engineer / Analytics Engineer to build and maintain up-to-date 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, Git Hub Copilot, or Cursor to improve engineering productivity.
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Key Responsibilities
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- Build and maintain end-to-end data pipelines from source systems into Snowflake.
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- Configure and manage data ingestion using Fivetran.
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- Develop and maintain dbt models, tests, documentation, and deployment workflows.
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- Design data models and semantic layers for analytics consumption.
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- Implement data quality checks, validation processes, and data contracts.
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- Use AI-powered coding assistants to automate development and documentation tasks.
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- Review, validate, and deploy AI-generated code.
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- Collaborate with business and technical stakeholders to deliver scalable data solutions.
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Required Skills
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- Strong experience with Snowflake
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- Hands-on expertise in dbt Cloud
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- Advanced SQL and data modeling skills
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- Experience with Fivetran or similar ELT tools
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- Data pipeline development and analytics engineering
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- Automated testing and data quality frameworks
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- Git-based development and CI/CD concepts
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- Experience working with AI coding assistants (Claude Code, Git Hub Copilot, Cursor, etc.)
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Good to Have
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- Python for automation
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- MCP (Model Context Protocol) exposure
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- Semantic layer implementation
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- Data contracts and data observability
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- API integrations and workflow automation
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- Governance, lineage, and cataloging tools
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Preferred Candidate Profile
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- 5+ years of experience in Data Engineering or Analytics Engineering.
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- Minimum 2+ years of hands-on experience with Snowflake and dbt.
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- Experience building production-grade ELT pipelines.
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- Strong focus on automation, data quality, and governance.
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- Ability to work independently in a fast-paced environment
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📌 Data Engineer (India)
🏢 EXL
📍 India