Description

Key Responsibilities

Design, develop, and maintain data pipelines and transformation workflows using SQL, Snowflake, and dbt.

Build reliable, scalable, and optimized data models for analytics and reporting.

Use Git for version control, code collaboration, and source code management.

Work with Snowflake hosted on AWS, including data integrations, security, access controls, and connectivity.

Develop and maintain dbt models, automated tests, documentation, and data quality checks.

Leverage AI coding tools such as GitHub Copilot, Cursor, or ChatGPT to accelerate coding, debugging, testing, and documentation.

Optimize SQL queries and Snowflake workloads for performance and cost efficiency.

Collaborate with data analysts, business stakeholders, and engineering teams to deliver trusted data solutions.

Follow best practices for code reviews, CI/CD, data governance, and production support.

Required Skills

Strong experience with SQL and data transformation.

Hands-on experience with Snowflake.

Experience building data models and transformation pipelines using dbt.

Proficiency with Git and version control workflows.

Knowledge of AWS cloud services, particularly Snowflake integrations, security, and connectivity.

Experience using AI-assisted development tools such as Cursor, GitHub Copilot, or ChatGPT.

Strong analytical, debugging, and problem-solving skills.

Experience supporting production data pipelines and data quality processes.

Preferred Qualifications

Experience with automated testing and CI/CD for data pipelines.

Knowledge of Python and data engineering best practices.

Experience with data modeling, query optimization, and cloud data architecture.

Ability to validate AI-generated code and ensure its correctness, security, and maintainability.

Excellent communication and collaboration skills.

Key Skills

Education

Any Gradute