Data Analytics Engineer SQL

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 .