Data Engineer

EXL

Tiruchirappalli

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+
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Job summary

EXL is seeking an experienced Data Engineer / Analytics Engineer to build and maintain modern data pipelines using Snowflake, dbt Cloud, and Fivetran. The ideal candidate will work with AI coding assistants such as Claude Code, GitHub Copilot, or Cursor to boost productivity and quality.

You will design data models, implement data quality checks, and collaborate with stakeholders to deliver scalable analytics solutions. Remote collaboration and cloud-first mindset are valued in this role.

Qualifications

  • 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.)
  • Python for automation
  • MCP exposure (Nice to have)
  • Semantic layer implementation (Nice to have)
  • Data contracts and data observability (Nice to have)
  • API integrations and workflow automation (Nice to have)
  • Governance, lineage, and cataloging tools (Nice to have)

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.

Skills

Snowflake
dbt Cloud
SQL
Fivetran
Data pipelines
Analytics engineering
AI coding assistants
Git-based development
CI/CD concepts
Python

Tools

Snowflake
dbt Cloud
Fivetran
Claude Code
GitHub Copilot
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
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