Data Engineer

EXL; Moradabad; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

EXL is seeking an experienced Data Engineer / Analytics Engineer to build and maintain modern data pipelines using Snowflake, dbt Cloud, and Fivetran. You will leverage AI coding assistants to boost productivity while ensuring data quality and governance.

The role requires hands-on cloud data platform experience, strong SQL, and the ability to collaborate with business and technical stakeholders to deliver scalable data solutions in a fast-paced environment.

Qualifications

• Experience building data pipelines from source to analytics platforms.
• Strong SQL and data modeling skills for analytics use cases.
• Hands-on experience with Snowflake, dbt Cloud, and ELT tools.
• Familiarity with AI coding assistants to improve engineering productivity.

Responsibilities

• Build and maintain end-to-end data pipelines into Snowflake.
• Configure and manage data ingestion with Fivetran.
• Develop and maintain dbt models, tests, and deployment workflows.
• Design data models and semantic layers for analytics consumption.
• Implement data quality checks and data contracts.
• Review AI-generated code and ensure quality and governance.
• Collaborate with stakeholders to deliver scalable data solutions.

Skills

Data pipelines

Data modeling

Collaboration

Cloud experience

Tools

Snowflake

dbt Cloud

Fivetran

SQL

Python

GitHub Copilot

Claude Code

Cursor

Job description

About the Role

We are looking for an experienced Data Engineer / Analytics Engineer to build and maintain modern 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.

Key Responsibilities

• Build and maintain end-to-end data pipelines from source systems into Snowflake.
• Configure and manage data ingestion using Fivetran.
• Develop and maintain dbt models, tests, documentation, and deployment workflows.
• Design data models and semantic layers for analytics consumption.
• Implement data quality checks, validation processes, and data contracts.
• Use AI-powered coding assistants to automate development and documentation tasks.
• Review, validate, and deploy AI-generated code.
• Collaborate with business and technical stakeholders to deliver scalable data solutions.

Required Skills

• Strong experience with Snowflake
• Hands-on expertise in dbt Cloud
• Advanced SQL and data modeling skills
• Experience with Fivetran or similar ELT tools
• Data pipeline development and analytics engineering
• Automated testing and data quality frameworks
• Git-based development and CI/CD concepts
• Experience working with AI coding assistants (Claude Code, GitHub Copilot, Cursor, etc.)

Good to Have

• Python for automation
• MCP (Model Context Protocol) exposure
• Semantic layer implementation
• Data contracts and data observability
• API integrations and workflow automation
• Governance, lineage, and cataloging tools

Preferred Candidate Profile

• 5+ years of experience in Data Engineering or Analytics Engineering.
• Minimum 2+ years of hands-on experience with Snowflake and dbt.
• Experience building production-grade ELT pipelines.
• Strong focus on automation, data quality, and governance.
• Ability to work independently in a fast-paced environment