Data Engineer

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 .